JP2023089777A - Information processing device, information processing method, and information processing program - Google Patents

Abstract

To allow for transmitting information using UWB pule shapes on top of data transmission.SOLUTION: An information processing device is provided, comprising an estimation unit configured to estimate context of a user, an identification unit configured to identify a UWB pulse shape corresponding to the context of the user, and an output unit configured to output a UWB pulse of the identified pulse shape. The estimation unit also estimates context of the surroundings on the basis of a shape of the UWB pulse received from the surroundings.SELECTED DRAWING: Figure 1

Description

The present invention relates to an information processing device, an information processing method, and an information processing program.

A technology related to a position detection system that determines these positional relationships through UWB communication (Ultra Wide Band) between a terminal and a communication device has been disclosed.

JP 2020-139845 A

However, the above conventional technology merely performs data transmission (data transmission) by UWB communication and determines the positional relationship between the terminal and the communication device. The radio wave of UWB is not a sine wave like wireless LAN (Local Area Network) or Bluetooth (registered trademark), but a pulse type waveform with a very wide bandwidth. can be done. Therefore, in UWB communication, apart from data transmission, we propose a method of intentionally changing the pulse shape to transmit information with the pulse shape.

The present application has been made in view of the above, and an object of the present application is to perform information transmission using a UWB pulse shape in addition to data transmission.

An information processing apparatus according to the present application includes an estimating unit that estimates a user's context, a specifying unit that specifies a UWB pulse shape according to the user's context, and a UWB pulse with the specified pulse shape. and an output unit for outputting.

According to one aspect of the embodiment, apart from data transmission, information can be transmitted in UWB pulse shapes.

FIG. 1 is an explanatory diagram showing an outline of an information processing method according to an embodiment. FIG. 2 is a conceptual diagram showing an example of changing the pulse intensity. FIG. 3 is a conceptual diagram showing an example of changing the pulse frequency. FIG. 4 is a conceptual diagram showing an example of changing the pulse frequency and the number of pulses. FIG. 5 is a conceptual diagram showing an example of changing the pulse intensity, pulse frequency, and pulse number. FIG. 6 is a diagram illustrating a configuration example of an information processing system according to the embodiment; FIG. 7 is a diagram illustrating a configuration example of a terminal device according to the embodiment; FIG. 8 is a diagram showing an example of a context-pulse correspondence table. FIG. 9 is a diagram illustrating a configuration example of an external server according to the embodiment; FIG. 10 is a diagram showing an example of a user information database. FIG. 11 is a diagram showing an example of the history information database. FIG. 12 is a flowchart illustrating a processing procedure according to the embodiment; FIG. 13 is a diagram illustrating an example of a hardware configuration;

Embodiments for implementing an information processing apparatus, an information processing method, and an information processing program according to the present application (hereinafter referred to as "embodiments") will be described in detail below with reference to the drawings. The information processing apparatus, information processing method, and information processing program according to the present application are not limited to this embodiment. Also, in the following embodiments, the same parts are denoted by the same reference numerals, and overlapping descriptions are omitted.

[1. Outline of information processing method]
First, an outline of an information processing method performed by an information processing apparatus according to an embodiment will be described with reference to FIG. FIG. 1 is an explanatory diagram showing an outline of an information processing method according to an embodiment. In FIG. 1, a case where information is transmitted in a pulse shape of UWB (Ultra Wide Band) will be described as an example.

As shown in FIG. 1 , the information processing system 1 includes a terminal device 10 and an external server 100 . The terminal device 10 and the external server 100 are communicably connected to each other by wire or wirelessly via a network N (see FIG. 6). In this embodiment, the terminal device 10 cooperates with the external server 100 .

The terminal device 10 is a smart device such as a smartphone or a tablet terminal used by a user U (user), and communicates with an arbitrary server device via a wireless communication network such as 4G (Generation) or LTE (Long Term Evolution). It is a mobile terminal device capable of communication. The terminal device 10 has a screen such as a liquid crystal display and has a touch panel function, and the user U can perform a tap operation, a slide operation, a scroll operation, or the like with a finger, a stylus, or the like, and display data such as contents. Accepts various operations for . An operation performed on an area where content is displayed on the screen may be an operation on the content. In addition, the terminal device 10 may be an information processing device such as a desktop PC (Personal Computer) or a notebook PC as well as a smart device.

The external server 100 cooperates with the terminal device 10 of each user U, and provides API (Application Programming Interface) services for various applications (hereinafter referred to as apps), etc., and various data and is realized by a server device, a cloud system, or the like.

Also, the external server 100 may be an information processing device that provides some web service to the terminal device 10 of each user U online. For example, the external server 100 provides web services such as Internet connection, search service, SNS (Social Networking Service), electronic commerce (EC), electronic payment, online game, online banking, online trading, accommodation/ticket reservation, Services such as video/music distribution, news, maps, route search, route guidance, route information, operation information, and weather forecast may be provided. In practice, the external server 100 may cooperate with various servers that provide web services as described above, mediate web services, or take charge of web service processing.

Note that the external server 100 can acquire user information about the user U. FIG. For example, the external server 100 acquires information about attributes of the user U, such as the user's U gender, age, and area of residence. The external server 100 stores and manages identification information indicating the user U (user ID, etc.) and information related to the attributes of the user U.

In addition, the external server 100 acquires various types of history information (log data) indicating actions of the user U from the terminal device 10 of the user U or from various servers based on the user ID or the like. For example, the external server 100 acquires the position history, which is the history of the location and date/time of the user U, from the terminal device 10 . The external server 100 also acquires a search history, which is a history of search queries input by the user U, from a search server (search engine). In addition, the external server 100 acquires a viewing history, which is a history of content viewed by the user U, from the content server. The external server 100 also acquires a purchase history (payment history), which is a history of user U's product purchases and payment processing, from an electronic commerce server or a payment processing server. In addition, the external server 100 may acquire the exhibition history and sales history, which are the history of the user U's exhibition in the marketplace, from the electronic commerce server or the payment processing server. In addition, the external server 100 acquires the posting history, which is the posting history of the user U, from a posting server that provides a word-of-mouth posting service or an SNS server.

Currently, radio waves such as wireless LAN (Local Area Network) and Bluetooth (registered trademark), which are generally used as wireless communication standards, have a sine wave waveform with a narrow bandwidth (frequency band). As such, information cannot be encoded into the waveform itself.

However, UWB (Ultra Wide Band) radio waves are not sine waves, but rather pulse-type waveforms with an extremely wide bandwidth, so the shape of the pulse (strength, frequency, etc.) can be freely changed to some extent. and information can be encoded in the shape of the pulse (various information can be represented in the shape of the pulse).

That is, UWB does not have to be sinusoidal, so it can produce pulses. In UWB, the pulse shape (intensity, frequency) varies considerably. Also, in UWB, strong waves and weak waves may be output as appropriate.

In this embodiment, the terminal device 10 of the user U supports UWB, and conveys the context of the user U to surrounding terminal devices 10 in the form of UWB pulses. For example, the terminal device 10 of the user U communicates the context of the user U to surrounding terminal devices 10 by means of UWB pulse strength (radio field strength). Here, peak power is used as the intensity of the pulse. Alternatively, the terminal device 10 of the user U transmits the context of the user U to surrounding terminal devices 10 using the UWB pulse frequency (pulse width). Further, the terminal device 10 of the user U may transmit the context of the user U to surrounding terminal devices 10 by combining the UWB pulse intensity and frequency pattern.

As shown in FIG. 1, the terminal device 10 of the user U transmits a model (context estimation model) for estimating (inferring) the context of the user U to the external server 100 via the network N (see FIG. 6). (step S1). For example, the terminal device 10 of the user U acquires from the external server 100 a model for estimating (inferring) a context from browsing history, purchase history, mail/message history, sensor information, and the like.

Note that the terminal device 10 of the user U may repeat on-device machine learning to reconstruct the model and improve the accuracy of the estimation. At this time, the terminal device 10 may manage a local model (terminal-side model) unique to the terminal, and the external server 100 may manage a global model (server-side model) common to all terminals. In addition, the terminal device 10 and the external server 100 may perform machine learning in a state in which data is distributed without being aggregated by federated learning.

The terminal device 10 of the user U estimates the context of the user U (step S2). For example, the terminal device 10 of the user U estimates the context of the user U using the acquired model (context estimation model). At this time, the terminal device 10 of the user U, when there is a change in various information (history information, sensor information, etc.) due to the behavior of the user U or environmental changes, or at predetermined time intervals (every minute) , every 10 minutes, every hour, at a predetermined time every day, etc.), the context of the user U may be estimated.

The terminal device 10 of the user U identifies the pulse shape corresponding to the estimated context (step S3). User U's terminal device 10 has a table that associates contexts with combinations of pulse shapes, and uses this table to determine a pulse shape corresponding to user U's context.

For example, the terminal device 10 of the user U identifies the intensity of the pulse according to the estimated context. At this time, the terminal device 10 of the user U has a table that associates combinations of contexts and pulse intensities, and uses this table to determine the pulse intensity corresponding to the user U's context.

Also, the terminal device 10 of the user U identifies the pulse frequency according to the estimated context. At this time, the terminal device 10 of the user U has a table in which combinations of contexts and pulse frequency (and pulse number) patterns are associated with each other. Determine the pattern of pulse frequency (and number of pulses) depending on the context.

The terminal device 10 of the user U outputs a UWB pulse with the specified pulse shape (intensity, frequency) so as to indicate the estimated context (step S4). For example, the terminal device 10 of the user U keeps the frequency of the UWB pulse constant and outputs it with the specified strength (radio field strength). Alternatively, the terminal device 10 of the user U keeps the intensity of the UWB pulse constant and outputs it in a specified frequency (pulse width) pattern. Note that the terminal device 10 of the user U may output the UWB pulse with the specified intensity and the specified frequency. That is, both intensity and frequency may be changed.

The terminal device 10 of the user U collects the surrounding context from the UWB pulses of the surrounding terminal devices 10 (step S5). For example, the terminal device 10 of the user U estimates the surrounding context based on the shape of the UWB pulse received from the surrounding terminal devices 10 . At this time, the terminal device 10 of the user U uses a model for estimating (inferring) the context from the shape of the UWB pulse to estimate the surrounding context from the shape of the UWB pulse received from the surrounding terminal device 10. can be estimated.

The terminal device 10 of the user U transmits information about the context to the external server 100 via the network N (see FIG. 6) (step S6). For example, the terminal device 10 of the user U transmits information about the context of the user U and the collected surrounding context to the external server 100 via the network N (see FIG. 6).

[1-1. Encode context into pulse intensity]
The terminal device 10 of the user U converts the context of the user U into a UWB pulse intensity (radio field intensity) and transmits it. That is, the user U's terminal device 10 encodes the user U's context into the intensity of the pulse. FIG. 2 is a conceptual diagram showing an example of changing the pulse intensity. For simplification of explanation, illustration of the damping portion is omitted.

For example, as shown in (a) of FIG. 2, when the user U is “outside (outdoor),” the terminal device 10 keeps the UWB pulse frequency (pulse width) constant and repeats a plurality of continuous By changing the intensity of the pulse wave to a pattern such as "strong, weak, weak", the context of the user U is encoded into the intensity of the pulse. Even if the wave is “weak” (weak wave), it is assumed that the wave has a strength that can be recognized as a pulse wave.

Further, as shown in FIG. 2(b), when the user U is "inside (indoor)", the terminal device 10 keeps the frequency of the UWB pulse constant and the intensity of a plurality of consecutive pulse waves. is changed to a pattern such as "strong, strong, weak" to encode the context of the user U into the intensity of the pulse.

At this time, the terminal device 10 of the user U and the surrounding terminal devices 10 set the intensity of the pulse to a predetermined intensity (reference value). After that, the surrounding terminal devices 10 determine how much the intensity of the first pulse from the terminal device 10 of the user U has changed (strengthened or weakened) with respect to the predetermined intensity, thereby allowing the user U to Able to recognize U's context.

When the user U is "running", the terminal device 10 keeps the frequency of the UWB pulse constant and changes the intensity of a plurality of continuous pulse waves in a pattern such as "strong, weak, weak, weak". The modification may encode user U's context into the intensity of the pulse.

Further, when the user U is "not running", the terminal device 10 keeps the frequency of the UWB pulse constant and changes the intensity of a plurality of consecutive pulse waves into a pattern such as "strong, weak, strong, strong". The modification may encode user U's context into the intensity of the pulse.

For example, the terminal device 10 of the user U and the surrounding terminal devices 10 set the intensity of the pulse to a predetermined intensity (reference value). After that, the terminal device 10 of the user U determines how much the intensity of the first pulse from the surrounding terminal devices 10 has changed (strengthened or weakened) with respect to the predetermined intensity, thereby It can recognize that there are many people running.

Note that the leading pulse of a plurality of continuous pulse waves may have a predetermined intensity. Further, the intensity of the pulse is not limited to "strong">"weak", but may be "strong">"medium">"low", or "5">"4">"3">"2". ' > '1'. That is, the intensity of the pulse is not limited to two stages, and may be multistage. Further, the terminal device 10 of the user U may select a frequency different from the most recently received pulse of the other terminal device in order to distinguish it from other terminal devices. Separate frequencies may be selected. Moreover, the terminal device 10 of the user U may select a frequency at random.

[1-2. Encode context to pulse frequency]
The terminal device 10 of the user U converts the context of the user U into a UWB pulse frequency (pulse width) and transmits it. That is, the terminal device 10 of the user U encodes the context of the user U into the frequency of the radio wave of the pulse. In this embodiment, the UWB pulse waveform is represented by a pattern in which a plurality of frequencies (pulse widths) are combined. FIG. 3 is a conceptual diagram showing an example of changing the pulse frequency. For simplification of explanation, illustration of the damping portion is omitted.

For example, as shown in (a) of FIG. 3, when the user U is "outside", the terminal device 10 keeps the intensity of the UWB pulse constant and emits a plurality of continuous pulse waves at "frequency X, The user U's context is encoded into the frequency of the pulse by changing the pattern to "Frequency Y, Frequency Z" and so on.

Further, as shown in FIG. 3(b), when the user U is "inside", the terminal device 10 keeps the intensity of the UWB pulse constant and generates a plurality of continuous pulse waves at "frequency Y, The user U's context is encoded into the frequency of the pulse by changing the pattern to "frequency X, frequency Z" and so on.

[1-3. Encode context into pulse frequency and number of pulses]
The terminal device 10 of the user U may change not only the UWB pulse frequency (pulse width) but also the number of pulses (frequency). Also, the terminal device 10 of the user U may change the combination of multiple frequencies. FIG. 4 is a conceptual diagram showing an example of changing the pulse frequency and the number of pulses. For simplification of explanation, illustration of the damping portion is omitted.

For example, as shown in (a) of FIG. 4, when the user U is "outside", the terminal device 10 keeps the intensity of the UWB pulse constant and emits a plurality of continuous pulse waves "of frequency X". 2 pulses, 1 pulse of frequency Y, 1 pulse of frequency Z”, etc., to encode the context of the user U into the frequency of the pulse.

Further, as shown in FIG. 4(b), when the user U is "inside", the terminal device 10 keeps the intensity of the UWB pulse constant and generates a plurality of consecutive pulse waves as "frequency X". 1 pulse, 2 pulses of frequency Y, 1 pulse of frequency Z”, etc., to encode the context of the user U into the frequency of the pulses.

Further, as shown in FIG. 4(c), when the user U is "eating", the terminal device 10 keeps the intensity of the UWB pulse constant and generates a plurality of consecutive pulse waves at "frequency X 2 pulses, and 3 pulses of frequency Y”, the context of the user U is encoded into the frequency of the pulses.

[1-4. Combination of pulse intensity, pulse frequency and number of pulses]
Further, the terminal device 10 of the user U may change the combination of the UWB pulse intensity, frequency, and number of pulses. FIG. 5 is a conceptual diagram showing an example of changing the pulse intensity, pulse frequency, and pulse number. For simplification of explanation, illustration of the damping portion is omitted.

For example, as shown in (a) of FIG. 5 , when the user U is “outside”, the terminal device 10 converts the UWB pulse wave into “one strong pulse and one weak pulse at frequency X”. The context of the user U is encoded into a pulse shape (combination of intensity, frequency, and number of pulses) by changing the pattern to a pattern such as "three strong pulses at frequency Y".

Further, as shown in FIG. 5(b), when the user U is "inside", the terminal device 10 converts the UWB pulse wave to "frequency X with two strong pulses and two weak pulses." The context of the user U is encoded into a pulse shape (combination of intensity, frequency, and number of pulses) by changing the pattern to a pattern such as 1 time, 1 strong pulse at frequency Y, and so on.

The intensity of the pulse is not limited to "strong">"weak", but may be "strong">"medium">"low", or "5">"4">"3">"2". ' > '1'. That is, the intensity of the pulse is not limited to two stages, and may be multistage.

Also, "outside" and "inside" are merely examples. In practice, the terminal device 10 may encode the context of various situations and actions of the user U and surroundings into pulse shapes (combinations of intensity, frequency, and number of pulses). In addition, the terminal device 10 converts the context of ``outside'' or ``inside'' of ``home'', ``workplace'', or ``specific facility'' into a pulse shape (combination of intensity, frequency, and number of pulses). can be encoded.

[1-5. Change only the first pulse (leading pulse)]
In UWB, multiple, very short and sharp pulse waves are generated. For example, when the number of pulses is four, four pulse waves are emitted from the first to fourth pulses.

For example, among four pulse waves, the first pulse wave is the first pulse (1st pulse), the second pulse wave is the second pulse (2nd pulse), the third pulse wave is the third pulse (3rd pulse), A fourth pulse wave is called a fourth pulse (4th pulse). At present, each of the first to fourth pulses is generally a single pulse wave, but it is also possible to express each pulse as a cluster (aggregate) of a plurality of continuous pulse waves. The number of consecutive pulse waves is arbitrary.

In this embodiment, the terminal device 10 of the user U expresses the first pulse (leading pulse) among the first to fourth pulses of UWB by a plurality of continuous pulse waves, and By changing the shape pattern (intensity, frequency, etc.) of the pulse wave, various information is encoded into the shape of the pulse. It should be noted that it is also possible to encode various information by changing the intensity of a single pulse wave instead of using a plurality of continuous pulse waves. Moreover, it is not limited to the first pulse, and may be the second pulse or later. That is, it is possible to encode various information in the second and subsequent pulses as well as in the first pulse.

For example, when the user U is "outside", the terminal device 10 expresses the first first pulse by a plurality of consecutive pulse waves, and expresses the consecutive plurality of pulse waves as "one strong pulse at frequency X". , 1 weak pulse, 3 strong pulses at frequency Y, etc.” to encode the context of user U into a pulse shape (combination of intensity, frequency, and number of pulses). do.

Further, when the user U is "inside", the terminal device 10 expresses the first first pulse by a plurality of consecutive pulse waves, and expresses the consecutive plurality of pulse waves as "two strong pulses at the frequency X". , 2 weak pulses, 1 strong pulse at frequency Y, etc.” to encode the context of user U into a pulse shape (combination of intensity, frequency, and number of pulses). do.

[1-6. Transmitters other than terminal devices]
As shown in FIG. 1 , the information processing system 1 may further include a transmitter 200 in addition to the terminal device 10 and the external server 100 .

The transmitter 200 supports UWB (Ultra Wide Band), and transmits information in the form of UWB pulses. In this embodiment, the transmitter 200 conveys the context of the transmitter 200 to the terminal device 10 of the user U in the form of UWB pulses. At this time, the terminal device 10 of the user U may notify the context of the transmitter 200 to the external server 100 via the network N (see FIG. 6).

For example, the transmitter 200 conveys the context of the transmitter 200 to the terminal device 10 with the strength of the UWB pulse. Alternatively, the transmitter 200 conveys the context of the transmitter 200 to the terminal device 10 in a UWB pulse frequency pattern. The transmitter 200 may also transmit the context of the transmitter 200 to the terminal device 10 by combining the UWB pulse intensity and frequency pattern.

The transmitter 200 may be a loss prevention tag such as AirTag (registered trademark), or may be a house/building, a car, a home appliance, an electronic device, or the like that supports the Internet of Things (IOT). A terminal device other than the terminal device 10 owned by the user U or a terminal device of another user may be used. For example, the transmitter 200 estimates the state (current state) of the transmitter 200 from the measurement result of a sensor (acceleration sensor, etc.) mounted on/connected to itself, and estimates the state (current state) of the transmitter 200 based on the shape of the UWB pulse. may be transmitted to the terminal device 10 of the user U. In practice, the transmitter 200 may transmit the measurement result itself of the sensor of the transmitter 200 to the terminal device 10 of the user U in the form of a UWB pulse. Then, the terminal device 10 of the user U may estimate the state (current state) of the transmitter 200 from the shape of the UWB pulse indicating the measurement result of the sensor. In addition, the terminal device 10 of the user U transmits the shape of the UWB pulse indicating the measurement result of the sensor or the estimated state (current state) of the transmitter 200 to the external server 100 via the network N (see FIG. 6). may be notified to

When the transmitter 200 is located within a predetermined range of the terminal device 10 of the user U, or when the transmitter 200 is moving with the terminal device 10 of the user U, the context of the transmitter 200 is Represents user U's context. In this embodiment, the transmitter 200 and the terminal device 10 are located at a distance where UWB radio waves can communicate with each other. In this case, the terminal device 10 of the user U estimates the context of the user U based on the shape of the UWB pulse from the transmitter 200, and sends the user U context to the external server 100 via the network N (see FIG. 6). U's context may be signaled.

In addition, when the terminal device 10 of the user U itself becomes the transmitter 200, the terminal device 10 estimates the context of the user U with various sensors mounted/connected to itself, Inform the server 100 of the user U's context. In practice, the terminal device 10 may transmit the measurement results of various sensors to the external server 100 in the form of UWB pulses. The external server 100 may estimate the context of the user U from the shape of the UWB pulse indicating the measurement results of various sensors.

[2. Configuration example of information processing system]
Next, the configuration of the information processing system 1 including the external server 100 according to the embodiment will be described using FIG. FIG. 6 is a diagram showing a configuration example of the information processing system 1 according to the embodiment. As shown in FIG. 6, the information processing system 1 according to the embodiment includes a terminal device 10 and an external server 100. As shown in FIG. These various devices are communicatively connected via a network N by wire or wirelessly. The network N is, for example, a LAN (Local Area Network) or a WAN (Wide Area Network) such as the Internet.

Also, the number of devices included in the information processing system 1 shown in FIG. 6 is not limited to the illustrated one. For example, in FIG. 6, only one terminal device 10 is shown for simplification of illustration, but this is only an example and is not limited, and two or more devices may be provided.

The terminal device 10 is an information processing device used by the user U. FIG. For example, the terminal device 10 includes smart devices such as smartphones and tablet terminals, feature phones, PCs (Personal Computers), PDAs (Personal Digital Assistants), game machines and AV equipment with communication functions, car navigation systems, smart watches, Wearable devices such as head-mounted displays, smart glasses, and the like.

In addition, the terminal device 10 is compatible with wireless communication networks such as LTE (Long Term Evolution), 4G (4th Generation), 5G (5th Generation: fifth generation mobile communication system), Bluetooth (registered trademark), wireless LAN (Local It is possible to connect to the network N and communicate with the external server 100 via short-range wireless communication such as Area Network). In addition, in the present embodiment, the terminal device 10 supports UWB (Ultra Wide Band).

The external server 100 is, for example, a PC, a server device, a mainframe, a workstation, or the like. Note that the external server 100 may be realized by cloud computing.

[3. Configuration example of terminal device]
Next, the configuration of the terminal device 10 will be described with reference to FIG. FIG. 7 is a diagram showing a configuration example of the terminal device 10. As shown in FIG. As shown in FIG. 7, the terminal device 10 includes a communication unit 11, a display unit 12, an input unit 13, a positioning unit 14, a sensor unit 20, a control unit 30 (controller), and a storage unit 40. Prepare.

(Communication unit 11)
The communication unit 11 is connected to the network N (see FIG. 6) by wire or wirelessly, and transmits and receives information to and from the external server 100 via the network N. For example, the communication unit 11 is implemented by a NIC (Network Interface Card), an antenna, or the like.

(Display unit 12)
The display unit 12 is a display device that displays various information such as position information. For example, the display unit 12 is a liquid crystal display (LCD) or an organic EL display (Organic Electro-Luminescent Display). Also, the display unit 12 is a touch panel display, but is not limited to this.

(Input unit 13)
The input unit 13 is an input device that receives various operations from the user U. For example, the input unit 13 has buttons and the like for inputting characters, numbers, and the like. The input unit 13 may be an input/output port (I/O port), a USB (Universal Serial Bus) port, or the like. Moreover, when the display unit 12 is a touch panel display, a part of the display unit 12 functions as the input unit 13 . Also, the input unit 13 may be a microphone or the like that receives voice input from the user U. FIG. The microphone may be wireless.

(Positioning unit 14)
The positioning unit 14 receives signals (radio waves) transmitted from GPS (Global Positioning System) satellites, and based on the received signals, position information (for example, latitude and longitude). That is, the positioning unit 14 positions the position of the terminal device 10 . GPS is merely an example of GNSS (Global Navigation Satellite System).

Also, the positioning unit 14 can measure the position by various methods other than GPS. For example, the positioning unit 14 may measure the position using various communication functions of the terminal device 10 as described below as auxiliary positioning means for position correction and the like.

(Wi-Fi positioning)
For example, the positioning unit 14 measures the position of the terminal device 10 using the Wi-Fi (registered trademark) communication function of the terminal device 10 or the communication network provided by each communication company. Specifically, the positioning unit 14 performs Wi-Fi communication or the like and measures the position of the terminal device 10 by measuring the distance to a nearby base station or access point.

(beacon positioning)
The positioning unit 14 may also use the Bluetooth (registered trademark) function of the terminal device 10 to measure the position. For example, the positioning unit 14 positions the position of the terminal device 10 by connecting with a beacon transmitter connected by the Bluetooth (registered trademark) function.

(geomagnetic positioning)
Further, the positioning unit 14 positions the position of the terminal device 10 based on the geomagnetism pattern of the structure measured in advance and the geomagnetic sensor provided in the terminal device 10 .

(RFID positioning)
Further, for example, if the terminal device 10 has an RFID (Radio Frequency Identification) tag function equivalent to a contactless IC card used at station ticket gates, shops, etc., or has a function of reading an RFID tag In this case, the location used is recorded together with the information that the payment was made by the terminal device 10 . The positioning unit 14 may measure the position of the terminal device 10 by acquiring such information. Also, the position may be measured by an optical sensor provided in the terminal device 10, an infrared sensor, or the like.

The positioning unit 14 may measure the position of the terminal device 10 using one or a combination of the positioning means described above, if necessary.

(Sensor unit 20)
The sensor unit 20 includes various sensors mounted on or connected to the terminal device 10 . The connection may be wired connection or wireless connection. For example, the sensors may be detection devices other than the terminal device 10, such as wearable devices and wireless devices. In the example shown in FIG. 7, the sensor unit 20 includes an acceleration sensor 21, a gyro sensor 22, an atmospheric pressure sensor 23, an air temperature sensor 24, a sound sensor 25, an optical sensor 26, a magnetic sensor 27, and an image sensor ( camera) 28.

The sensors 21 to 28 described above are only examples and are not limited. That is, the sensor unit 20 may be configured to include a part of the sensors 21 to 28, or may include other sensors such as a humidity sensor in addition to or instead of the sensors 21 to 28. .

The acceleration sensor 21 is, for example, a three-axis acceleration sensor, and detects physical movements of the terminal device 10 such as movement direction, speed, and acceleration of the terminal device 10 . The gyro sensor 22 detects physical movements of the terminal device 10 such as inclination in three axial directions based on the angular velocity of the terminal device 10 and the like. The atmospheric pressure sensor 23 detects the atmospheric pressure around the terminal device 10, for example.

Since the terminal device 10 includes the above-described acceleration sensor 21, gyro sensor 22, barometric pressure sensor 23, etc., techniques such as pedestrian dead-reckoning (PDR: Pedestrian Dead-Reckoning) using these sensors 21 to 23, etc. , the position of the terminal device 10 can be determined. This makes it possible to obtain position information that is difficult to obtain with a positioning system such as GPS.

For example, a pedometer using the acceleration sensor 21 can calculate the number of steps, walking speed, and distance walked. Further, by using the gyro sensor 22, it is possible to know the traveling direction, the direction of the line of sight, and the inclination of the body of the user U. Also, from the atmospheric pressure detected by the atmospheric pressure sensor 23, the altitude at which the terminal device 10 of the user U is present and the number of floors can be known.

The temperature sensor 24 detects the temperature around the terminal device 10, for example. The sound sensor 25 detects sounds around the terminal device 10, for example. The optical sensor 26 detects the illuminance around the terminal device 10 . The magnetic sensor 27 detects, for example, geomagnetism around the terminal device 10 . The image sensor 28 captures an image around the terminal device 10 .

The atmospheric pressure sensor 23, the temperature sensor 24, the sound sensor 25, the optical sensor 26, and the image sensor 28 described above detect the atmospheric pressure, temperature, sound, and illuminance, respectively, or capture an image of the surroundings to detect the terminal device 10. It is possible to detect the surrounding environment and situations. In addition, it is possible to improve the accuracy of the location information of the terminal device 10 based on the surrounding environment and situation of the terminal device 10 .

(control unit 30)
The control unit 30 includes, for example, a microcomputer having a CPU (Central Processing Unit), a ROM (Read Only Memory), a RAM, an input/output port, and various circuits. Also, the control unit 30 may be configured by hardware such as an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array). The control unit 30 includes a transmission unit 31 , a reception unit 32 , a processing unit 33 , an estimation unit 34 , a specification unit 35 and an output unit 36 .

(Sending unit 31)
The transmission unit 31 receives, for example, various information input by the user U using the input unit 13, various information detected by the sensors 21 to 28 mounted on or connected to the terminal device 10, and information measured by the positioning unit 14. The location information of the terminal device 10 and the like can be transmitted to the external server 100 via the communication unit 11 . In this embodiment, the transmission unit 31 requests a model (context estimation model) for estimating (inferring) the context of the user U from the external server 100 via the communication unit 11 . Further, the transmission unit 31 may request attribute information, history information, etc. of the user U from the external server 100 via the communication unit 11 as necessary.

(Receiver 32)
The receiving unit 32 can receive various information provided by the external server 100 and requests for various information from the external server 100 via the communication unit 11 . In this embodiment, the receiving unit 32 receives a model (context estimation model) for estimating (inferring) the context of the user U from the external server 100 via the communication unit 11 . Further, the receiving unit 32 may receive attribute information, history information, etc. of the user U from the external server 100 via the communication unit 11 as necessary.

(Processing unit 33)
The processing unit 33 controls the entire terminal device 10 including the display unit 12 and the like. For example, the processing unit 33 can output various types of information transmitted by the transmitting unit 31 and various types of information received by the receiving unit 32 from the external server 100 to the display unit 12 for display.

Further, the processing unit 33 may function as an estimation unit 34, a specification unit 35, and an output unit 36 described below by starting an application or executing a program.

(Estimation unit 34)
The estimation unit 34 estimates the user U's context. For example, the estimation unit 34 estimates the context of the user U based on history information or sensor information.

In this embodiment, the estimation unit 34 estimates the context of the user U using a model (context estimation model) for estimating (inferring) the user's U context. For example, the estimation unit 34 estimates the context of the user U using a model for estimating the context of the user U from the user U's browsing history, purchase history, e-mail/message history, sensor information, and the like. .

The estimation unit 34 also estimates the surrounding context based on the shape of the UWB pulse received from the surroundings. For example, the estimation unit 34 estimates the surrounding context based on the intensity of UWB pulses received from the surroundings. Alternatively, the estimation unit 34 estimates the surrounding context based on the frequency of the UWB pulses received from the surroundings.

Note that the estimating unit 34 may estimate the surrounding context from patterns of combinations of UWB pulse intensities and pulse frequencies. Alternatively, the estimation unit 34 may estimate the surrounding context from a combination pattern of UWB pulse frequency and pulse count. Alternatively, the estimation unit 34 may estimate the surrounding context from a combination pattern of UWB pulse intensity, pulse frequency, and number of pulses.

(Specifying unit 35)
The specifying unit 35 specifies the shape of the UWB pulse corresponding to the user U's context. For example, the specifying unit 35 specifies the intensity of the UWB pulse corresponding to the user U's context. Alternatively, the specifying unit 35 specifies the frequency of the UWB pulse corresponding to the user U's context.

At this time, the identifying unit 35 may identify the shape of the UWB pulse according to the context of the user U using a table that associates the context and the pulse shape stored in the storage unit 40 .

For example, the specifying unit 35 specifies the intensity of the UWB pulse according to the context of the user U using a table that associates the context and the pulse intensity stored in the storage unit 40 .

Alternatively, the specifying unit 35 specifies the frequency of the UWB pulse according to the context of the user U using a table that associates the context and the pulse frequency stored in the storage unit 40 .

For example, the identifying unit 35 identifies a combination pattern of a plurality of UWB pulse intensities according to the user U's context. Further, the identifying unit 35 identifies patterns of combinations of a plurality of frequencies of UWB pulses according to the user U's context.

Note that the specifying unit 35 may specify a combination pattern of the UWB pulse intensity and the pulse frequency according to the user U's context. Alternatively, the specifying unit 35 may specify a combination pattern of the UWB pulse frequency and the number of pulses according to the user U's context. Alternatively, the specifying unit 35 may specify a pattern of combinations of UWB pulse intensity, pulse frequency, and number of pulses according to the user U's context.

(Output unit 36)
The output unit 36 outputs UWB pulses in the specified pulse shape via the transmission unit 31 and the communication unit 11 . For example, the output unit 36 changes the UWB pulse to the intensity of the specified UWB pulse and outputs it. Further, the output unit 36 changes the frequency of the UWB pulse to the specified frequency of the UWB pulse and outputs the frequency.

For example, the output unit 36 changes the UWB pulse to a pattern of a combination of specified intensities of a plurality of pulses and outputs the pattern. Alternatively, the output unit 36 changes the UWB pulse to a pattern of a combination of specified frequencies of a plurality of pulses and outputs the pattern.

The output unit 36 converts the leading first pulse of the UWB pulses into a plurality of continuous pulse waves, changes the leading first pulse of the continuous multiple pulse waves into a specified pulse shape, and outputs the pulse waves. .

For example, the output unit 36 changes the leading first pulse of the UWB pulses to a plurality of continuous pulse waves, and changes the leading first pulse of the plurality of continuous pulse waves to the specified pulse intensity. Output.

Alternatively, the output unit 36 changes the leading first pulse of the UWB pulses to a plurality of continuous pulse waves, and changes the leading first pulse of the plurality of continuous pulse waves to the specified pulse frequency. Output.

The output unit 36 may change the UWB pulse to a specified combination pattern of the UWB pulse intensity and the pulse frequency, and output the pattern. Alternatively, the output unit 36 may change the UWB pulse to a specified combination pattern of the UWB pulse frequency and the number of pulses and output the same. Alternatively, the output unit 36 may change the UWB pulse to a specified combination pattern of the UWB pulse intensity, the pulse frequency, and the number of pulses, and output the pattern.

(storage unit 40)
The storage unit 40 is realized by, for example, a semiconductor memory device such as RAM (Random Access Memory) or flash memory, or a storage device such as HDD (Hard Disk Drive), SSD (Solid State Drive), or optical disk. be. Various programs, various data, and the like are stored in the storage unit 40 .

Furthermore, the storage unit 40 stores a table that associates contexts with pulse shapes. For example, the storage unit 40 stores a table that associates contexts with pulse intensities. Alternatively, the storage unit 40 stores a table that associates contexts with pulse frequencies.

Note that the storage unit 40 may store a table in which contexts are associated with patterns of combinations of UWB pulse intensities and pulse frequencies. Alternatively, the storage unit 40 may store a table that associates contexts with patterns of combinations of UWB pulse frequencies and pulse numbers. Alternatively, the storage unit 40 may store a table in which contexts are associated with patterns of combinations of UWB pulse intensity, pulse frequency, and number of pulses.

In this embodiment, as shown in FIG. 7, the storage unit 40 has a context estimation model 40A and a context-pulse correspondence table 40B. The context estimation model 40A is a model for estimating (inferring) the user U's context.

(Context-pulse correspondence table 40B)
The context-pulse correspondence table 40B is a table that associates contexts with patterns of combinations of UWB pulse intensity, pulse frequency, and pulse number. FIG. 8 is a diagram showing an example of the context-pulse correspondence table 40B. In the example shown in FIG. 8, the context-pulse correspondence table 40B has items such as "context", "intensity", "frequency", and "number of pulses".

"Context" indicates the context obtained from the browsing history, purchase history, mail message history, sensor information, etc. of the user U and the context estimation model 40A. "Intensity" indicates the intensity of the UWB pulse according to the context. The intensity may be a combination pattern of the intensity of a plurality of UWB pulses. "Frequency" indicates the frequency of the UWB pulse corresponding to the context. The frequency may be a combination pattern of a plurality of UWB pulse frequencies. "Number of pulses" indicates the number of UWB pulses corresponding to the context. For example, the number of pulses indicates the number of times a pulse is output at the above intensity and frequency.

For example, in the example shown in FIG. 8, in order to express the context "Working from home", the pulse of the intensity "strong" and the frequency "X" is generated "2" times, and the intensity "weak" and the frequency "Y" is generated "1". ” times, the intensity “strong” and the frequency “Z” are output in a combination pattern of “1” times.

Here, in the example shown in FIG. 8, abstract values such as "X", "Y" and "Z" are used for illustration, but "X", "Y" and "Z" are concrete values. It is assumed that information such as character strings and numerical values is stored.

Note that the context-pulse correspondence table 40B is not limited to the above, and may store various information depending on the purpose. For example, the context-pulse correspondence table 40B may store not only the user U's context but also surrounding contexts. Also, the context-pulse correspondence table 40B may store information about the user U's position. The context-pulse correspondence table 40B may also store browsing history, purchase history, e-mail/message history, sensor information, and the like, which are the basis for estimating the context.

[4. External server configuration example]
Next, the configuration of the external server 100 according to the embodiment will be described using FIG. FIG. 9 is a diagram showing a configuration example of the external server 100 according to the embodiment. As shown in FIG. 9, the external server 100 has a communication section 110, a storage section 120, and a control section .

(Communication unit 110)
The communication unit 110 is realized by, for example, a NIC (Network Interface Card) or the like. Also, the communication unit 110 is connected to the network N (see FIG. 6) by wire or wirelessly.

(storage unit 120)
The storage unit 120 is implemented by, for example, a semiconductor memory device such as a RAM (Random Access Memory) or flash memory, or a storage device such as an HDD, SSD, or optical disk. As shown in FIG. 9, storage unit 120 has user information database 121 and history information database 122 .

(User information database 121)
The user information database 121 stores user information about the user U. FIG. For example, the user information database 121 stores various information such as user U attributes. FIG. 10 is a diagram showing an example of the user information database 121. As shown in FIG. In the example shown in FIG. 10, the user information database 121 has items such as "user ID (Identifier)", "age", "gender", "home", "place of work", and "interest".

“User ID” indicates identification information for identifying the user U. The “user ID” may be the user U's contact information (telephone number, e-mail address, etc.), or may be identification information for identifying the user U's terminal device 10 .

"Age" indicates the age of the user U identified by the user ID. Note that the "age" may be information indicating a specific age of the user U (for example, 35 years old) or information indicating the age of the user U (for example, 30's). . Alternatively, the "age" may be information indicating the date of birth of the user U, or information indicating the generation of the user U (for example, born in the 80's). "Gender" indicates the gender of the user U identified by the user ID.

"Home" indicates location information of the home of the user U identified by the user ID. In the example shown in FIG. 10, "home" is represented by an abstract code such as "LC11", but may be latitude/longitude information or the like. Also, for example, "home" may be an area name or an address.

"Place of work" indicates location information of the place of work (school in the case of a student) of the user U identified by the user ID. In the example shown in FIG. 10, the "place of work" is illustrated as an abstract code such as "LC12", but may be latitude/longitude information or the like. Also, for example, the "place of work" may be an area name or an address.

"Interest" indicates the interest of the user U identified by the user ID. That is, "interest" indicates an object in which the user U identified by the user ID is highly interested. For example, the "interest" may be a search query (keyword) that the user U has entered into a search engine and searched for. In the example shown in FIG. 10, one "interest" is shown for each user U, but there may be more than one.

For example, in the example shown in FIG. 10, the age of the user U identified by the user ID "U1" is "twenties" and the gender is "male". Also, for example, the user U identified by the user ID "U1" indicates that the home is "LC11". Also, for example, the user U identified by the user ID "U1" indicates that the place of work is "LC12". Also, for example, the user U identified by the user ID "U1" indicates that he is interested in "sports".

Here, in the example shown in FIG. 10, abstract values such as “U1”, “LC11” and “LC12” are used, but “U1”, “LC11” and “LC12” are concrete values. It is assumed that information such as character strings and numerical values is stored. Hereinafter, abstract values may also be illustrated in diagrams relating to other information.

The user information database 121 is not limited to the above, and may store various types of information depending on the purpose. For example, the user information database 121 may store various information about the terminal device 10 of the user U. FIG. In addition, the user information database 121 stores user U's demographics (demographic attributes), psychographics (psychological attributes), geographics (geographical attributes), behavioral attributes (behavioral attributes), etc. Information about attributes may be stored. For example, the user information database 121 includes name, family structure, hometown (local), occupation, position, income, qualification, residence type (detached house, condominium, etc.), presence or absence of car, commuting time, commuting time, commuting time. Information such as routes, commuter pass sections (stations, lines, etc.), frequently used stations (other than the nearest station to your home or place of work), lessons (places, time zones, etc.), hobbies, interests, lifestyle, etc. may

(History information database 122)
The history information database 122 stores various types of information related to history information (log data) indicating user U's actions. FIG. 11 is a diagram showing an example of the history information database 122. As shown in FIG. In the example shown in FIG. 11, the history information database 122 has items such as "user ID", "location history", "search history", "browsing history", "purchase history", and "posting history".

“User ID” indicates identification information for identifying the user U. "Position history" indicates a position history that is a history of the user's U position and movement. Also, "search history" indicates a search history that is a history of search queries input by the user U. FIG. "Browsing history" indicates a browsing history that is a history of contents browsed by the user U. FIG. "Purchase history" indicates the purchase history of the user U's purchases. In addition, “posting history” indicates a posting history that is a history of posts by the user U. FIG. In addition, the “posting history” may include questions about user U's property.

For example, in the example shown in FIG. 11, the user U identified by the user ID "U1" moves along the "location history #1", searches along the "search history #1", It indicates that the content was browsed according to the "history #1", a predetermined product or the like was purchased at a predetermined store or the like according to the "purchase history #1", and the content was posted according to the "posting history".

Here, in the example shown in FIG. 11, abstract history such as "U1", "location history #1", "search history #1", "browsing history #1", "purchase history #1", and "posting history #1" "U1", "location history #1", "search history #1", "browsing history #1", "purchase history #1" and "posting history #1" , information such as specific character strings and numerical values are stored.

Note that the history information database 122 may store various types of information, not limited to the above, depending on the purpose. For example, the history information database 122 may store the user U's usage history of a predetermined service. In addition, the history information database 122 may store the user U's store visit history, facility visit history, and the like. In addition, the history information database 122 may store a history of payment (electronic payment) using the terminal device 10 of the user U, and the like.

(control unit 130)
Returning to FIG. 9, the description is continued. The control unit 130 is a controller, and for example, a CPU (Central Processing Unit), an MPU (Micro Processing Unit), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or the like controls the external server 100. Various programs (corresponding to an example of an information processing program) stored in an internal storage device are executed by using a storage area such as a RAM as a work area. In the example illustrated in FIG. 9 , the control unit 130 has an acquisition unit 131 , a collection unit 132 , a learning unit 133 and a provision unit 134 .

(Acquisition unit 131)
The acquisition unit 131 acquires a search query input by the user U. For example, the acquisition unit 131 acquires the search query via the communication unit 110 when the user U inputs a search query into a search engine or the like and performs a keyword search. That is, the acquisition unit 131 acquires, via the communication unit 110, a keyword input by the user U to a search window of a search engine, site, or application.

The acquisition unit 131 also acquires user information about the user U via the communication unit 110 . For example, the acquisition unit 131 acquires identification information (user ID, etc.) indicating the user U, location information of the user U, attribute information of the user U, and the like, from the terminal device 10 of the user U. FIG. Further, the acquisition unit 131 may acquire identification information indicating the user U, attribute information of the user U, and the like when the user U is registered as a user. Acquisition unit 131 then registers the user information in user information database 121 of storage unit 120 .

In addition, the acquisition unit 131 acquires various types of history information (log data) indicating actions of the user U via the communication unit 110 . For example, the acquisition unit 131 acquires various types of history information indicating actions of the user U from the terminal device 10 of the user U or from various servers based on the user ID or the like. The acquisition unit 131 then registers various types of history information in the history information database 122 of the storage unit 120 .

(Collection unit 132)
The collection unit 132 collects information about the user U and surrounding context from the terminal device 10 of each user U via the communication unit 110 .

Note that the collection unit 132 may aggregate information about the user U and the surrounding context and store the aggregation result in the storage unit 120 .

(Learning unit 133)
The learning unit 133 performs machine learning and builds a model (context estimation model) for estimating (inferring) the user U's context. For example, the learning unit 133 may perform machine learning to construct a model for estimating the context of the user U from the user U's browsing history, purchase history, email/message history, sensor information, and the like. . In addition, the learning unit 133 may perform machine learning to construct a model for estimating the context of the source from the shape (intensity, frequency, etc.) of the UWB pulse received from the surroundings.

(Providing unit 134)
The providing unit 134 provides the terminal device 10 of each user U with a model (context estimation model) for estimating (inferring) the context of the user U via the communication unit 110 .

Note that the providing unit 134 may provide the terminal device 10 of each user U with a table that associates contexts with combinations of pulse shapes (intensity, frequency, etc.) via the communication unit 110 .

[5. Processing procedure]
Next, a processing procedure by the terminal device 10 according to the embodiment will be described with reference to FIG. 12 . FIG. 12 is a flowchart illustrating a processing procedure according to the embodiment; Note that the processing procedure described below is repeatedly executed by the control unit 30 of the terminal device 10 .

As shown in FIG. 12, the receiving unit 32 of the terminal device 10 receives a context estimation model for estimating (inferring) the context of the user U from the external server 100 via the communication unit 11 (step S101). .

Subsequently, the estimation unit 34 of the terminal device 10 uses the context estimation model to estimate the context of the user U from the user U's browsing history, purchase history, email/message history, sensor information, etc. (step S102).

Subsequently, the specifying unit 35 of the terminal device 10 specifies the shape of the UWB pulse according to the user's context (step S103). For example, the specifying unit 35 may specify a pattern of a combination of UWB pulse intensity, pulse frequency, and number of pulses according to the user's context.

Subsequently, the output unit 36 of the terminal device 10 changes the UWB pulse to the specified pulse shape and outputs it (step S104). For example, the output unit 36 may change the UWB pulse to a specified combination pattern of the UWB pulse intensity, the pulse frequency, and the number of pulses, and output the pattern.

Subsequently, the receiving unit 32 of the terminal device 10 receives UWB pulses from other terminal devices 10 and transmitters 200 existing in the vicinity (step S105). For example, the receiving unit 32 receives UWB pulses from the terminal device 10 that is within the reach of UWB radio waves and that supports the present invention (change and output of UWB pulse shape according to context).

Subsequently, the estimation unit 34 of the terminal device 10 estimates the surrounding context from the shape of the received UWB pulse (step S106). For example, the estimating unit 34 estimates the surrounding context from a combination pattern of received UWB pulse intensity, pulse frequency, and number of pulses.

Subsequently, the transmission unit 31 of the terminal device 10 transmits information about the user U and surrounding context to the external server 100 via the communication unit 11 (step S107).

[6. Modification]
The terminal device 10 and the external server 100 described above may be implemented in various different forms other than the above embodiment. So, below, the modification of embodiment is demonstrated.

In the above embodiment, part or all of the processing executed by the external server 100 may actually be executed by the terminal device 10 . For example, the processing may be completed stand-alone (by the terminal device 10 alone). In this case, it is assumed that the terminal device 10 has the function of the external server 100 in the above embodiment. In addition, in the above embodiment, the terminal device 10 cooperates with the external server 100, so from the user U's point of view, it appears that the terminal device 10 is executing the processing of the external server 100 as well. That is, from another point of view, it can be said that the terminal device 10 includes the external server 100 .

Also, in the above embodiments, UWB (Ultra Wide Band: ultra-wideband wireless communication) is described as an example, but in reality, the present invention is not limited to UWB. For example, similar to UWB, other communication standards may be used in which the pulse format can be changed and information can be transmitted in the pulse format.

[7. effect〕
As described above, the information processing device (the terminal device 10 and the external server 100) according to the present application includes the estimation unit 34 that estimates the context of the user U, and the shape of the UWB pulse according to the context of the user U. A specifying unit 35 for specifying and an output unit 36 for outputting a UWB pulse in the specified pulse shape are provided.

The estimation unit 34 estimates the surrounding context based on the shape of the UWB pulse received from the surroundings.

The estimation unit 34 estimates the context of the user U based on history information or sensor information.

For example, the specifying unit 35 specifies the intensity of the UWB pulse corresponding to the user U's context. The output unit 36 changes the UWB pulse to the intensity of the specified UWB pulse and outputs it.

The estimation unit 34 estimates the surrounding context based on the intensity of the UWB pulses received from the surroundings.

Further, the specifying unit 35 specifies the frequency of the UWB pulse corresponding to the user U's context. The output unit 36 changes the frequency of the UWB pulse to the specified frequency of the UWB pulse and outputs the frequency.

The estimation unit 34 estimates the surrounding context based on the frequency of the UWB pulses received from the surroundings.

The information processing apparatus according to the present application further includes a storage unit that stores a table that associates contexts with pulse shapes. The specifying unit 35 specifies the shape of the UWB pulse corresponding to the context of the user U using the table.

The storage unit stores a table that associates contexts with pulse intensities. The specifying unit 35 specifies the intensity of the UWB pulse corresponding to the context of the user U using the table.

The storage unit stores a table that associates contexts with pulse frequencies. The specifying unit 35 specifies the frequency of the UWB pulse corresponding to the context of the user U using the table.

The specifying unit 35 specifies a combination pattern of the intensity of a plurality of UWB pulses according to the user U's context. The output unit 36 changes the UWB pulse into a pattern of a combination of the specified intensities of the plurality of pulses and outputs the pattern.

The identifying unit 35 identifies patterns of combinations of a plurality of frequencies of UWB pulses according to the user U's context. The output unit 36 changes the UWB pulse to a pattern of a combination of frequencies of the specified plurality of pulses and outputs the pattern.

The output unit 36 converts the leading first pulse of the UWB pulses into a plurality of continuous pulse waves, changes the leading first pulse of the continuous multiple pulse waves into a specified pulse shape, and outputs the pulse waves. .

The identifying unit 35 identifies patterns of combinations of UWB pulse intensities and pulse frequencies according to the user U's context. The output unit 36 changes the UWB pulse to the pattern of the specified combination of the UWB pulse intensity and the pulse frequency, and outputs the pattern.

The specifying unit 35 specifies a combination pattern of the UWB pulse frequency and the number of pulses according to the user U's context. The output unit 36 changes the UWB pulse to the specified combination pattern of the UWB pulse frequency and the number of pulses, and outputs the pattern.

The specifying unit 35 specifies a pattern of a combination of UWB pulse intensity, pulse frequency, and number of pulses according to the user U's context. The output unit 36 changes the UWB pulse to a combination pattern of the specified UWB pulse intensity, pulse frequency, and pulse number, and outputs the pattern.

By any one or a combination of the above-described processes, the information processing apparatus according to the present application can perform information transmission in UWB pulse shapes in addition to data transmission.

[8. Hardware configuration]
Also, the terminal device 10 and the external server 100 according to the above-described embodiments are implemented by a computer 1000 configured as shown in FIG. 13, for example. The external server 100 will be described below as an example. FIG. 13 is a diagram illustrating an example of a hardware configuration; The computer 1000 is connected to an output device 1010 and an input device 1020, and an arithmetic device 1030, a primary storage device 1040, a secondary storage device 1050, an output I/F (Interface) 1060, an input I/F 1070, and a network I/F 1080 are buses. It has a form connected by 1090.

Arithmetic device 1030 operates based on programs stored in primary storage device 1040 and secondary storage device 1050, programs read from input device 1020, and the like, and executes various types of processing. The arithmetic unit 1030 is implemented by, for example, a CPU (Central Processing Unit), MPU (Micro Processing Unit), ASIC (Application Specific Integrated Circuit), FPGA (Field Programmable Gate Array), or the like.

The primary storage device 1040 is a memory device such as a RAM (Random Access Memory) that temporarily stores data used for various calculations by the arithmetic device 1030 . The secondary storage device 1050 is a storage device in which data used for various calculations by the arithmetic device 1030 and various databases are registered. State Drive), flash memory, or the like. The secondary storage device 1050 may be an internal storage or an external storage. Also, the secondary storage device 1050 may be a removable storage medium such as a USB (Universal Serial Bus) memory or an SD (Secure Digital) memory card. Also, the secondary storage device 1050 may be a cloud storage (online storage), a NAS (Network Attached Storage), a file server, or the like.

The output I/F 1060 is an interface for transmitting information to be output to the output device 1010 that outputs various information such as a display, a projector, and a printer. (Digital Visual Interface), HDMI (registered trademark) (High Definition Multimedia Interface), and other standardized connectors. Also, the input I/F 1070 is an interface for receiving information from various input devices 1020 such as a mouse, keyboard, keypad, buttons, scanner, etc., and is realized by, for example, USB.

Also, the output I/F 1060 and the input I/F 1070 may be wirelessly connected to the output device 1010 and the input device 1020, respectively. That is, the output device 1010 and the input device 1020 may be wireless devices.

Also, the output device 1010 and the input device 1020 may be integrated like a touch panel. In this case, the output I/F 1060 and the input I/F 1070 may also be integrated as an input/output I/F.

Note that the input device 1020 includes, for example, optical recording media such as CDs (Compact Discs), DVDs (Digital Versatile Discs), PDs (Phase change rewritable discs), magneto-optical recording media such as MOs (Magneto-Optical discs), and tapes. It may be a device that reads information from a medium, a magnetic recording medium, a semiconductor memory, or the like.

Network I/F 1080 receives data from other devices via network N and sends the data to arithmetic device 1030, and also transmits data generated by arithmetic device 1030 via network N to other devices.

Arithmetic device 1030 controls output device 1010 and input device 1020 via output I/F 1060 and input I/F 1070 . For example, arithmetic device 1030 loads a program from input device 1020 or secondary storage device 1050 onto primary storage device 1040 and executes the loaded program.

For example, when computer 1000 functions as external server 100 , computing device 1030 of computer 1000 implements the functions of control unit 130 by executing a program loaded on primary storage device 1040 . Arithmetic device 1030 of computer 1000 may load a program acquired from another device via network I/F 1080 onto primary storage device 1040 and execute the loaded program. Further, the arithmetic unit 1030 of the computer 1000 may cooperate with another device via the network I/F 1080, and call functions, data, etc. of the program from another program of the other device for use.

[9. others〕
Although the embodiments of the present application have been described above, the present invention is not limited by the contents of these embodiments. In addition, the components described above include those that can be easily assumed by those skilled in the art, those that are substantially the same, and those within the so-called equivalent range. Furthermore, the components described above can be combined as appropriate. Furthermore, various omissions, replacements, or modifications of components can be made without departing from the gist of the above-described embodiments.

Further, among the processes described in the above embodiments, all or part of the processes described as being performed automatically can be performed manually, or the processes described as being performed manually can be performed manually. All or part of this can also be done automatically by known methods. In addition, information including processing procedures, specific names, various data and parameters shown in the above documents and drawings can be arbitrarily changed unless otherwise specified. For example, the various information shown in each drawing is not limited to the illustrated information.

Also, each component of each device illustrated is functionally conceptual, and does not necessarily need to be physically configured as illustrated. In other words, the specific form of distribution and integration of each device is not limited to the illustrated one, and all or part of them can be functionally or physically distributed and integrated in arbitrary units according to various loads and usage conditions. Can be integrated and configured.

For example, the external server 100 described above may be implemented by a plurality of server computers, and depending on the function, an external platform may be called using an API (Application Programming Interface) or network computing. Flexible to change.

Also, the above-described embodiments and modifications can be appropriately combined within a range that does not contradict the processing contents.

Also, the above-mentioned "section, module, unit" can be read as "means" or "circuit". For example, the acquisition unit can be read as acquisition means or an acquisition circuit.

1 information processing system 10 terminal device 34 estimation unit 35 identification unit 36 output unit 40A context estimation model 40B context-pulse correspondence table 100 external server 110 communication unit 120 storage unit 121 user information database 122 history information database 130 control unit 131 acquisition unit 132 collecting unit 133 learning unit 134 providing unit 200 transmitter

Claims (12)

an estimation unit that estimates the user's context;
a specifying unit that specifies a UWB pulse shape according to the user's context;
an output unit that outputs UWB pulses in the specified pulse shape;
An information processing device comprising: The information processing apparatus according to claim 1, wherein the estimating unit estimates the surrounding context based on the shape of a UWB pulse received from the surroundings. The information processing apparatus according to claim 1 or 2, wherein the estimation unit estimates a user's context based on history information or sensor information. The specifying unit specifies a UWB pulse intensity corresponding to the context of the user,
The information processing apparatus according to any one of claims 1 to 3, wherein the output unit converts the UWB pulse to the intensity of the specified UWB pulse and outputs it. a storage unit that stores a table that associates contexts with pulse shapes;
further comprising
The information processing apparatus according to any one of claims 1 to 4, wherein the specifying unit specifies a UWB pulse shape according to the context of the user by using the table. The storage unit stores a table that associates contexts with pulse intensities,
The information processing apparatus according to claim 5, wherein the specifying unit specifies the intensity of the UWB pulse according to the context of the user using the table. The identifying unit identifies a pattern of combinations of intensities of a plurality of UWB pulses according to the context of the user,
The information processing apparatus according to any one of claims 1 to 6, wherein the output unit changes the UWB pulse to a pattern of a combination of specified intensities of a plurality of pulses and outputs the pattern. The output unit converts a leading first pulse among UWB pulses into a plurality of continuous pulse waves, changes the continuous plural pulse waves, which are the leading first pulses, into a specified pulse shape, and outputs the pulse waves. The information processing apparatus according to any one of claims 1 to 7, characterized in that: The specifying unit specifies a combination pattern of UWB pulse intensity and pulse frequency according to the context of the user,
9. The output unit according to any one of claims 1 to 8, wherein the output unit changes the UWB pulse to a specified combination pattern of UWB pulse intensity and pulse frequency, and outputs the pattern. Information processing equipment. The specifying unit specifies a combination pattern of UWB pulse intensity, pulse frequency, and pulse number according to the context of the user,
10. The output unit converts the UWB pulse into a combination pattern of specified UWB pulse intensity, pulse frequency, and pulse number, and outputs the pattern. The information processing device according to 1. An information processing method executed by an information processing device,
an estimation step of estimating the context of the user;
an identifying step of identifying a UWB pulse shape according to the user's context;
an output step of outputting UWB pulses in the specified pulse shape;
An information processing method comprising: an estimation procedure for estimating a user's context;
an identifying procedure for identifying a UWB pulse shape according to the user's context;
an output procedure for outputting UWB pulses with a specified pulse shape;
An information processing program for executing a computer.

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