JP7271589B2 - Information processing device, information processing method and information processing program - Google Patents

Description

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

Conventionally, there has been proposed a technique for providing a context awareness platform for realizing a ubiquitous society (see Patent Document 1, for example). Such technology is for sharing various context data acquired by various sensor devices, including computers, which are ubiquitous in real space.

Japanese Patent Publication No. 2017-503371

However, the conventional techniques described above have room for further improvement in identifying a device based on the context indicated by the context data.

The present application has been made in view of the above, and aims to provide an information processing apparatus, an information processing method, and an information processing program capable of identifying a device based on the context indicated by context data.

An information processing apparatus according to the present application includes an acquisition unit and an estimation unit. The acquisition unit acquires context information including sensor data in the context environment from one terminal device among a plurality of terminal devices communicating with each other in a predetermined context environment. The estimating unit is a context indicating a relative relationship between the one terminal device included in the context information acquired by the acquiring unit and a terminal device other than the one terminal device, and the plurality of Device identity of the one terminal device is estimated based on the context including a group use history, which is history information when the terminal devices are used simultaneously and in a predetermined order.

According to one aspect of the embodiment, there is an effect that the device can be identified based on the context indicated by the context data.

FIG. 1 is a diagram illustrating an example of information processing according to an embodiment. FIG. 2 is a diagram illustrating a configuration example of an information processing system according to the embodiment; FIG. 3 is a block diagram illustrating a configuration example of a terminal device according to the embodiment; FIG. 4 is a block diagram illustrating a configuration example of a server device according to the embodiment; FIG. 5 is a diagram illustrating an example of relative context. FIG. 6 is a diagram showing changes in relative positional relationship. FIG. 7 is an explanatory diagram of an estimation model. FIG. 8 is a processing sequence executed by the information processing system according to the embodiment. FIG. 9 is a hardware configuration diagram showing an example of a computer that implements the functions of the server device according to the embodiment.

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. Further, each embodiment can be appropriately combined within a range that does not contradict the processing contents. Also, in each of the following embodiments, the same parts are denoted by the same reference numerals, and overlapping descriptions are omitted.

[1. Example of information processing]
First, an example of information processing according to the embodiment will be described with reference to FIG. FIG. 1 is a diagram illustrating an example of information processing according to an embodiment.

In FIG. 1, a server apparatus 100, which is an example of an information processing apparatus included in an information processing system 1 according to an embodiment, receives context information from one of a plurality of terminal apparatuses that communicate with each other in a predetermined context environment. Acquiring context information including sensor data in the environment, based on the context indicating the relative relationship between the one terminal device and other terminal devices other than the one terminal device included in the acquired context information, one An example of executing a process of estimating the identity of a terminal device will be shown.

As shown in FIG. 1, an information processing system 1 according to the embodiment includes a plurality of terminal devices 10-1, 10-2, . As shown in the figure, the terminal device 10-1 corresponds to an example of a first device. Also, the terminal device 10-2 corresponds to an example of a second device. Also, the terminal device 10-n corresponds to an example of a third device that is a device other than the first device and the second device.

The terminal devices 10-1, 10-2, . . . 10-n are capable of peer-to-peer wireless communication, and can form an ad-hoc network AN as a context environment. . . , 10-n are referred to as “terminal devices 10” when there is no particular need to distinguish them.

The terminal device 10 is an example of a sensor device having various sensors. For example, the terminal device 10 has a G sensor, a gyro sensor, a GPS (Global Positioning System) sensor, etc., and is a terminal device used by a user for various information processing via an HMI (Human Machine Interface). be.

In such a case, the terminal device 10 is, for example, an information processing device such as a mobile phone including a smart phone, a tablet terminal, a desktop PC, a notebook PC, or a PDA (Personal Digital Assistant). The terminal device 10 also includes a wearable device, which is an information processing device in the form of spectacles or a watch. Computers such as servers and workstations are also included. Also, the terminal device 10 may be a game machine or the like capable of so-called StreetPass communication (registered trademark).

Also, for example, the terminal device 10 is various sensor devices that specifically sense video, audio, temperature, humidity, atmospheric pressure, biological information, and the like.

The server device 100 is an information processing device that provides various services to the terminal device 10 . Moreover, the server device 100 can identify and authenticate the terminal device 10 and provide various services according to the ad-hoc network AN in which the terminal device 10 exists, that is, the context environment.

Here, in identifying and authenticating the terminal device 10, there is room for further improvement in the existing technology regarding the method of identifying the terminal device based on the context information that the terminal device 10 acquires in the ad-hoc network AN.

Therefore, in the information processing method according to the embodiment, context information including sensor data in a context environment is acquired from one terminal device 10-1 of a plurality of terminal devices 10 communicating with each other in a predetermined context environment, Based on the context indicating the relative relationship between one terminal device 10-1 and other terminal devices 10-2, ... 10-n other than the one terminal device 10-1, included in the acquired context information It was decided to estimate the identity of one terminal device 10-1.

Specifically, as shown in FIG. 1, for example, the terminal device 10-1 exchanges context data with the terminal devices 10-2, . Such context information is presumed to include information indicating the characteristics of the ad-hoc network AN in which the terminal device 10-1 exists, that is, the context environment.

It is also presumed that such information further includes features that can identify the terminal device 10-1. Such features are, for example, features relating to relative relationships between the terminal devices 10 .

Focusing on this point, the information processing method according to the embodiment estimates the identity of the terminal device 10 based on the context information indicating the relative relationship between the terminal devices 10 .

Specifically, in the information processing method according to the embodiment, when identifying the terminal device 10-1, as shown in FIG. 1, the server device 100 first acquires the context information acquired by the terminal device 10-1. (Step S1).

Then, the server device 100 estimates the identity of the terminal device 10-1 based on the context information indicating the relative relationship between the terminal devices 10 included in the acquired context information (step S2).

A relative relationship is, for example, a relative positional relationship between the terminal devices 10 . A relative relationship is, for example, a relative device relationship (type, model, communication means, etc.) between the terminal devices 10 .

The context information indicating the relative relationship between the terminal devices 10 will be described later with reference to FIGS. 5 and 6. FIG.

Note that the server device 100 can use an estimation model learned using a machine learning algorithm, for example, in the estimation process in step S2. This point will be described later in the description using FIG.

By performing such a series of procedures, the server device 100 can identify the terminal device 10-1 in the ad-hoc network AN, for example.

As described above, in the information processing method according to the embodiment, context information including sensor data in a context environment is received from one terminal device 10-1 of the plurality of terminal devices 10 communicating with each other in a predetermined context environment. to the context indicating the relative relationship between the one terminal device 10-1 and the other terminal devices 10-2, . . . 10-n included in the acquired context information. Based on this, the identity of one terminal device 10-1 is estimated.

Therefore, according to the information processing method according to the embodiment, the device can be identified based on the context indicated by the context data.

The information processing system 1 including the information processing apparatus that performs information processing as described above will be described in detail below.

[2. Configuration of information processing system 1]
FIG. 2 is a diagram showing a configuration example of the information processing system 1 according to the embodiment. As illustrated in FIG. 2, the information processing system 1 according to the embodiment includes a plurality of terminal devices 10-1, 10-2, .

These various devices are communicably connected via a network N by wire or wirelessly. The network N is a communication network such as a LAN (Local Area Network), a WAN (Wide Area Network), a telephone network (mobile telephone network, fixed telephone network, etc.), a local IP (Internet Protocol) network, or the Internet. The network N may include wired networks or wireless networks.

As described above, the terminal devices 10-1, 10-2, . Since the terminal device 10 has already been described, detailed description thereof will be omitted here.

The server device 100 is an information processing device that provides various services to the terminal device 10 as described above. The services provided by the server device 100 are, for example, services that provide various types of information via various applications and browsers installed in the terminal device 10 . In addition to search services, the services provided include, for example, news provision service, auction service, weather forecast service, shopping service, financial transaction (stock trading, etc.) service, route search service, map provision service, travel service, eating and drinking Store introduction service, blog service, etc. may be included.

Further, as described above, the server device 100 can identify and authenticate the terminal device 10 and provide various services according to the ad-hoc network AN in which the terminal device 10 exists, that is, the context environment. A processing procedure for identifying and authenticating the terminal device 10 will be described later with reference to FIG.

[3. terminal device 10]
Next, a configuration example of the terminal device 10 will be described with reference to FIG. FIG. 3 is a block diagram showing a configuration example of the terminal device 10 according to the embodiment. Note that FIG. 3 and FIG. 4 shown later show only the constituent elements necessary for explaining the present embodiment, and omit the description of general constituent elements.

As shown in FIG. 3 , the terminal device 10 has a communication section 11 , a sensor section 12 , a storage section 13 and a control section 14 . Note that the terminal device 10 includes an input unit (for example, a keyboard, a mouse, etc.) that receives various operations from a user or the like who uses the terminal device 10, a display unit (for example, a liquid crystal display, etc.) for displaying display information, , a speaker unit or the like for outputting audio information.

(Regarding communication unit 11)
The communication unit 11 is realized by, for example, a NIC (Network Interface Card) or the like. The communication unit 11 is connected to the network N by wire or wirelessly, and transmits and receives information to and from the server device 100 via the network N.

Also, the communication unit 11 is connected to another terminal device 10 for peer-to-peer wireless communication, and transmits and receives information to and from the other terminal device 10 . Wi-Fi (registered trademark), Bluetooth (registered trademark), UWB (Ultra Wide Band), NFC (Near Field Communication), or the like can be used as a wireless communication method.

(Regarding the sensor section 12)
The sensor unit 12 is mounted on the terminal device 10 and includes one or more sensors that acquire sensing data indicating various contexts in the space where the terminal device 10 exists.

(Regarding the storage unit 13)
The storage unit 13 is realized by, for example, a semiconductor memory device such as a RAM (Random Access Memory) or a flash memory, or a storage device such as a hard disk or an optical disc. In the example of FIG. It has a context information storage unit 13a.

(Context information storage unit 13a)
The context information storage unit 13a stores context data from the sensor unit 12 and context data from other terminal devices 10, which are received by the receiving unit 14a, which will be described later.

(Regarding the control unit 14)
The control unit 14 is a controller, and for example, various programs (an example of an information processing program) stored in a storage device inside the terminal device 10 by a CPU (Central Processing Unit), MPU (Micro Processing Unit), etc. ) is executed using the RAM as a work area. Also, the control unit 14 is, for example, a controller, and is implemented by an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

As shown in FIG. 3, the control unit 14 has a receiving unit 14a, a data processing unit 14b, and a transmitting unit 14c, and realizes or executes information processing functions and actions described below. Note that the internal configuration of the control unit 14 is not limited to the configuration shown in FIG. 3, and may be another configuration as long as it can perform information processing described later. Further, the connection relationship between the processing units of the control unit 14 is not limited to the connection relationship shown in FIG. 3, and may be another connection relationship.

The control unit 14 performs overall control of information processing in the terminal device 10 .

(Regarding the receiving unit 14a)
The receiving unit 14a receives the context data acquired by the sensor unit 12 and stores it in the context information storage unit 13a. The receiving unit 14a also receives context data from another terminal device 10 via the communication unit 11, and stores the context data in the context information storage unit 13a. Further, the receiving unit 14 a receives various data from the server device 100 via the communication unit 11 .

(Regarding the data processing unit 14b)
The data processing unit 14b executes data processing according to various data received by the receiving unit 14a. For example, when the data processing unit 14b receives a request for context data acquired by the sensor unit 12 from another terminal device 10, the data processing unit 14b transmits the corresponding context data to the other terminal device 10 to the transmission unit 14c. send.

Further, for example, when the server apparatus 100 requests the context information stored in the context information storage unit 13a, the data processing unit 14b causes the transmission unit 14c to transmit the context information to the server apparatus 100 in response to the request. .

(Regarding the transmission unit 14c)
The transmission unit 14 c transmits various data according to the processing result of the data processing unit 14 b to the other terminal device 10 or the server device 100 via the communication unit 11 .

[4. server device 100]
Next, a configuration example of the server device 100 will be described with reference to FIG. FIG. 4 is a block diagram showing a configuration example of the server device 100 according to the embodiment.

As shown in FIG. 4 , the server device 100 has a communication section 101 , a storage section 102 and a control section 103 . Note that, like the terminal device 10, the server device 100 includes an input unit (for example, a keyboard, a mouse, etc.) that receives various operations from a user who uses the server device 100, and a display unit (for example, a display unit) for displaying display information. For example, it may have a liquid crystal display, etc.) and a speaker unit for outputting audio information.

(Regarding communication unit 101)
The communication unit 101 is implemented by, for example, a NIC, like the communication unit 11 described above. The communication unit 101 is connected to the network N by wire or wirelessly, and transmits and receives information to and from the terminal device 10 via the network N.

(Regarding storage unit 102)
The storage unit 102, like the storage unit 13 described above, is realized by, for example, a semiconductor memory device such as a RAM or a flash memory, or a storage device such as a hard disk or an optical disk. It has a context database (DB) storage unit 102a and an estimation model storage unit 102b.

(Context database storage unit 102a)
The context database storage unit 102a stores a context database that stores context information from the terminal device 10 acquired by the acquisition unit 103a, which will be described later.

As described above, the context information acquired from the terminal devices 10 includes context information indicating relative relationships between the terminal devices 10 . For convenience of explanation, hereinafter, the context information indicating such relative relationship may be referred to as "relative context".

An example of relative context will now be described. FIG. 5 is a diagram illustrating an example of relative context. Moreover, FIG. 6 is a figure which shows the change of relative positional relationship. As shown in FIG. 5, relative context includes, for example, location information, device information, and history information.

As shown in FIG. 5, the position information is information indicating the relative positional relationship of another terminal device 10 with respect to one terminal device 10. Assuming that there is a certain terminal device 10-1, the information includes the relative distance and relative angle of the terminal device 10-1 with respect to each of the terminal devices 10-2, .

The relative distance and the relative angle can be a feature quantity vector that indicates the relative positional relationship of the terminal device 10-1 with respect to each of the terminal devices 10-2, . . . 10-n. Further, as shown in FIG. 6, these variations indicate whether or not the terminal device 10-1 is present in the ad hoc network AN, depending on whether they fall within a predetermined range corresponding to the ad hoc network AN. It can be a feature vector.

Returning to the description of FIG. Device information includes type, model, communication means, and the like. These pieces of device information can be a feature quantity vector indicating the type, model, communication means, etc. of each device relatively existing around the terminal device 10-1.

The history information includes communication history, StreetPass history by StreetPass communication, group use history, and the like. The group use history is, for example, history information when a plurality of terminal devices 10 are used simultaneously or used in a predetermined order. An example of simultaneous use is, for example, a case where one terminal device 10 is playing music while another terminal device 10 is used as a book reader. An example of the case of using in a predetermined order is the case of using different terminal devices 10 for each process along a predetermined order in a series of manufacturing processes of a product.

These pieces of history information are feature vectors indicating relative communication roles of the terminal device 10-1 with respect to each of the terminal devices 10-2, . sell. In addition, the history information can also be a feature amount vector indicating what type of context data is relatively exchanged. In addition, the history information can also be a feature quantity vector indicating which terminal device 10 is used simultaneously with which terminal device 10 or which terminal device 10 is used before or after which terminal device 10 .

(Estimated model storage unit 102b)
Returning to the description of FIG. The estimation model storage unit 102b stores an estimation model used for estimation processing executed by the estimation unit 103b, which will be described later. Here, the estimation model will be explained. FIG. 7 is an explanatory diagram of an estimation model.

As shown in FIG. 7, the estimation model is based on a relative context such as shown in FIG. DNN (Deep Neural Network) learned using .

The estimating unit 103b, which will be described later, calculates the degree of identity of the terminal device 10-1 by inputting the acquired relative context for the terminal device 10-1 to the estimation model.

(Regarding the control unit 103)
The control unit 103, like the control unit 14 described above, is a controller. It is realized by being executed using RAM as a work area. Also, the control unit 103 is, for example, a controller, and is realized by an integrated circuit such as ASIC or FPGA.

As shown in FIG. 4, the control unit 103 includes an acquisition unit 103a, an estimation unit 103b, an authentication unit 103c, and a provision unit 103d, and implements or executes the information processing functions and actions described below. . Note that the internal configuration of the control unit 103 is not limited to the configuration shown in FIG. 4, and may be another configuration as long as it can perform information processing described later. Moreover, the connection relationship of each processing unit of the control unit 103 is not limited to the connection relationship shown in FIG. 4, and may be another connection relationship.

The control unit 103 acquires context information including sensor data in the context environment from one terminal device 10-1 of a plurality of terminal devices 10 communicating with each other in a predetermined context environment, and uses the acquired context information as Based on the context indicating the relative relationship between one terminal device 10-1 and other terminal devices 10-2, . Presume the identity of 1.

(Regarding the acquisition unit 103a)
Acquisition unit 103a acquires, via communication unit 101, context information held by terminal device 10-1 from terminal device 10-1, which is an estimation target for estimating identity, and stores the context information in context database storage unit 102a. stored in the context database.

(Regarding the estimation unit 103b)
The estimation unit 103b inputs the relative context for the terminal device 10-1 included in the context information acquired by the acquisition unit 103a to the estimation model stored in the estimation model storage unit 102b, thereby estimating the terminal device 10-1. Calculate the degree of identity. Also, the estimation unit 103b estimates that the terminal device 10-1 is identical when the calculated degree of identity exceeds a predetermined determination threshold.

(Regarding the authentication unit 103c)
When the authentication unit 103c receives an authentication request for a predetermined service provided by the server device 100 from the terminal device 10-1 via the communication unit 101, the authentication unit 103c regards the terminal device 10-1 as the target of the identity estimation, The context information of the terminal device 10-1 is requested.

Further, when the acquisition unit 103a acquires the context information in response to the request, the authentication unit 103c causes the estimation unit 103b to determine whether the terminal device 10-1 is based on the relative context included in the acquired context information. Let the identity be presumed.

Further, when the estimation unit 103b estimates that the terminal device 10-1 is identical, the authentication unit 103c authenticates the terminal device 10-1 based on the estimation result.

(Regarding the providing unit 103d)
When the authentication unit 103c authenticates the terminal device 10-1 as a device existing in the ad-hoc network AN, the provision unit 103d provides various services corresponding to the ad-hoc network AN to the terminal device 10-1. It is provided through the communication unit 101 . Various services include various recommendation services according to the context environment.

[5. Processing sequence of information processing system 1]
Next, a processing sequence executed by the information processing system 1 according to the embodiment will be described. FIG. 8 is a processing sequence executed by the information processing system 1 according to the embodiment. 8, the terminal device 10-1 is the first device, the terminal device 10-2 is the second device, and the terminal device 10-n is the third device. shall be

As shown in FIG. 8, first, the terminal device 10-1 exchanges context data with the terminal devices 10-2, . Such steps S101 and S102 are repeated as needed.

On the other hand, the terminal device 10-1 requests authentication from the server device 100 when it desires authentication for receiving services provided by the server device 100 (step S103).

When the server device 100 receives the authentication request, the server device 100 requests context information from the terminal device 10-1 (step S104). In response to this request, the terminal device 10-1 transmits the context information acquired in step S102 to the server device 100 (step S105).

Then, the server device 100 estimates the identity of the terminal device 10-1 based on the relative context included in the received context information (step S106). Then, the server device 100 authenticates the terminal device 10-1 based on the estimation result (step S107).

When the terminal device 10-1 is authenticated, the server device 100 provides the terminal device 10-1 with various services according to the context environment of the terminal device 10-1 (step S108).

[6. Hardware configuration]
The terminal device 10 and server device 100 according to the above-described embodiments are implemented by a computer 1000 configured as shown in FIG. 9, for example. The server apparatus 100 will be described below as an example. FIG. 9 is a hardware configuration diagram showing an example of a computer that implements the functions of the server device 100 according to the embodiment. The computer 1000 includes a CPU (Central Processing Unit) 1100, a RAM (Random Access Memory) 1200, a ROM (Read Only Memory) 1300, a HDD (Hard Disk Drive) 1400, a communication interface (I/F) 1500, an input/output interface (I /F) 1600 and a media interface (I/F) 1700 .

The CPU 1100 operates based on programs stored in the ROM 1300 or HDD 1400 and controls each section. The ROM 1300 stores a boot program executed by the CPU 1100 when the computer 1000 is started up, a program depending on the hardware of the computer 1000, and the like.

HDD 1400 stores programs executed by CPU 1100 and data used by the programs. Communication interface 1500 receives data from other devices via communication network 500 (corresponding to network N shown in FIG. 2), sends data to CPU 1100, and transmits data generated by CPU 1100 to other devices via communication network 500. Send to device.

The CPU 1100 controls output devices such as displays and printers, and input devices such as keyboards and mice, through an input/output interface 1600 . CPU 1100 acquires data from an input device via input/output interface 1600 . CPU 1100 also outputs the generated data to an output device via input/output interface 1600 .

Media interface 1700 reads programs or data stored in recording medium 1800 and provides them to CPU 1100 via RAM 1200 . CPU 1100 loads the program from recording medium 1800 onto RAM 1200 via media interface 1700 and executes the loaded program. The recording medium 1800 is, for example, an optical recording medium such as a DVD (Digital Versatile Disc) or a PD (Phase change rewritable disc), a magneto-optical recording medium such as an MO (Magneto-Optical disk), a tape medium, a magnetic recording medium, or a semiconductor memory. etc.

For example, when the computer 1000 functions as the server device 100 according to the embodiment, the CPU 1100 of the computer 1000 implements each function of the control unit 103 by executing programs loaded on the RAM 1200 . In addition, the data in storage unit 102 is stored in HDD 1400 . CPU 1100 of computer 1000 reads these programs from recording medium 1800 and executes them, but as another example, these programs may be obtained from another device via communication network 500 .

[7. others〕
Further, among the processes described in the above embodiments, all or part of the processes described as being automatically performed can be manually performed, 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 one shown in the figure, 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 acquiring unit 103a and the providing unit 103d shown in FIG. 4 may be integrated in the sense that they are via the same communication unit 101. Furthermore, the authentication unit 103c may be integrated in the sense that it is also via the communication unit 101. FIG. Also, for example, the estimation unit 103b and the authentication unit 103c may be integrated. Further, for example, the information stored in the storage unit 102 may be stored via the network N in a predetermined external storage device.

Also, as means for measuring the relative positional relationship, the following method may be used. For example, the terminal device 10-2 in the ad-hoc network AN receives information that can be identified as having been sent by the terminal device 10-1, and adds information (such as a signature) to the information that the terminal device 10-2 has certainly received. It is added and sent back to the terminal device 10-1. Then, the terminal device 10-1 confirms the information originally issued by itself in the information received from the terminal device 10-2, and holds it. Due to the frequent existence of the information, it is possible to find the relationship that the terminal devices 10-1 and 10-2 are very close to each other in the ad-hoc network AN. For example, when the terminal device 10-1 is authenticated, the server device 100 confirms the information indicating the relationship between the terminal devices 10-1 and 10-2, thereby authenticating the terminal device 10-1. can be done.

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

[8. effect〕
A server device 100 (corresponding to an example of an “information processing device”) according to the embodiment includes an acquisition unit 103a and an estimation unit 103b. The acquisition unit 103a acquires context information including sensor data in a context environment from one terminal device 10-1 among a plurality of terminal devices 10 communicating with each other in a predetermined context environment. The estimating unit 103b estimates relative values between the one terminal device 10-1 included in the context information acquired by the acquiring unit 103a and the other terminal devices 10-2, . The identity of one terminal device 10-1 is estimated based on the context indicating such relationship.

Therefore, according to the server apparatus 100 according to the embodiment, it is possible to identify the device based on the context indicated by the context data.

Further, the estimation unit 103b, based on the context indicating the relative positional relationship between the one terminal device 10-1 and the other terminal devices 10-2, . Presume identity.

Therefore, according to the server device 100 according to the embodiment, based on the relative context indicating the relative positional relationship between the one terminal device 10-1 and the other terminal devices 10-2, . It becomes possible to presume the identity of the device 10-1.

Further, the context includes at least one of location information, device information, and history information of other terminal devices 10-2, . . . 10-n for one terminal device 10-1. The degree of identity of one terminal device 10-1 is calculated using an estimation model that has been learned to calculate the degree of identity of one terminal device 10-1, and the calculated degree of identity exceeds a predetermined determination threshold. If it exceeds, one terminal device 10-1 is presumed to be identical.

Therefore, according to the server device 100 according to the embodiment, the identity of the terminal device 10-1 can be estimated using an estimation model such as DNN learned using a machine learning algorithm, and the identity of the terminal device 10-1 can be estimated. Devices can be identified based on context.

Moreover, the server device 100 according to the embodiment further includes an authentication unit 103c. The authentication unit 103c executes an authentication process for one terminal device 10-1 when receiving an authentication request for a predetermined service from one terminal device 10-1. Further, the authenticating unit 103c causes the estimating unit 103b to estimate the identity of the one terminal device 10-1 based on the context information acquired from the one terminal device 10-1 in response to the authentication request. If it is estimated, one terminal device 10-1 is authenticated.

Therefore, according to the server device 100 according to the embodiment, it is possible to execute authentication processing of the terminal device 10-1 for a predetermined service based on the result of estimating the identity of the terminal device 10-1.

Moreover, the server device 100 according to the embodiment further includes a providing unit 103d. The providing unit 103d provides the one terminal device 10-1 with the service according to the context environment when the one terminal device 10-1 is authenticated for the service by the authentication unit 103c.

Therefore, according to the server device 100 according to the embodiment, it is possible to provide a service according to the context environment to the authenticated terminal device 10-1.

As described above, the embodiments of the present application have been described in detail with reference to the drawings, but these are examples, and various modifications and improvements, including the aspects described in the section of the disclosure of the invention, can be made based on the knowledge of those skilled in the art. It is possible to implement the invention in other forms.

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 11 communication unit 12 sensor unit 13 storage unit 13a context information storage unit 14 control unit 14a reception unit 14b data processing unit 14c transmission unit 100 server device 101 communication unit 102 storage unit 102a context database storage unit 102b estimation model storage unit 103 control unit 103a acquisition unit 103b estimation unit 103c authentication unit 103d provision unit

Claims (7)

an acquisition unit that acquires context information including sensor data in a given context environment from one of a plurality of terminal devices communicating with each other in a given context environment;
A context indicating a relative relationship between the one terminal device included in the context information acquired by the acquisition unit and a terminal device other than the one terminal device , and the plurality of terminal devices are used simultaneously. an estimating unit for estimating the device identity of the one terminal device based on the context including the group usage history, which is history information when the terminal device is used and when it is used in a predetermined order. processing equipment. The estimation unit
The information processing according to claim 1, wherein the identity of the one terminal device is estimated based on the context indicating the relative positional relationship between the one terminal device and the other terminal device. Device. The context is
including at least one of history information including the group usage history, location information and device information of the other terminal device with respect to the one terminal device,
The estimation unit
calculating the degree of identity of the one terminal device using an estimation model trained to calculate the degree of identity of the one terminal device based on the context, and the calculated degree of identity exceeds a predetermined determination threshold; 3. The information processing apparatus according to claim 1, wherein the one terminal apparatus is assumed to be identical when the terminal apparatus is the same. an authentication unit that executes authentication processing for the one terminal device when an authentication request for a predetermined service is received from the one terminal device,
The authentication unit
causing the estimating unit to estimate the identity of the one terminal device based on the context information acquired from the one terminal device in response to the authentication request; 4. The information processing device according to claim 1, 2 or 3, which authenticates the device. 2. The method according to claim 1, further comprising a providing unit that provides said one terminal device with said service according to said context environment when said one terminal device is authenticated for said service by said authentication unit. 5. The information processing device according to 4. A computer-executed information processing method comprising:
an acquisition step of acquiring context information including sensor data in a given context environment from one of a plurality of terminal devices communicating with each other in a given context environment;
A context indicating a relative relationship between the one terminal device included in the context information acquired in the acquisition step and a terminal device other than the one terminal device , and the plurality of terminal devices are used simultaneously. an estimating step of estimating the device identity of the one terminal device based on the context including the group usage history, which is history information when the device is used and when it is used in a predetermined order. information processing method. an acquisition procedure for acquiring context information including sensor data in a given context environment from one of a plurality of terminal devices communicating with each other in a given context environment;
A context indicating a relative relationship between the one terminal device included in the context information acquired by the acquisition procedure and a terminal device other than the one terminal device , and the plurality of terminal devices are used simultaneously. causing a computer to execute an estimation procedure for estimating the device identity of the one terminal device based on the context including the group usage history, which is history information when the device is used and when it is used in a predetermined order; An information processing program characterized by

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