JP2017138930A - Terminal, system, program, and method for determining user state of own terminal by using information from other terminal - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a terminal capable of determining a user state determined by sensor information of an own terminal by using a user state determined by sensor information of the other terminal.SOLUTION: A terminal for receiving sensor information from the other terminal having various sensors comprises: user state rule storage means for associating a user state in accordance with the sensor information; user state determination means for determining the user state corresponding to the sensor information by using the user state rule storage means; terminal grouping means for grouping terminals on the basis of a predetermined condition; and representative state determination means for determining a representative state based on all the user states of the terminals in each group. The user state determination means determines the user state corresponding to the sensor information measured by various sensors of an own terminal by using user state rule storage means. The terminal further comprises user state correction means for correcting the user state of the own terminal to the representative state of the group.SELECTED DRAWING: Figure 2

Description

  The present invention relates to a technique for determining a user state of a user who operates a terminal.

In recent years, a variety of sensors have been mounted on smartphones and mobile terminals possessed by users. Examples of sensors mounted on a smartphone include a GPS (Global Positioning System) sensor, an acceleration sensor, a geomagnetic sensor, an atmospheric pressure sensor, and a temperature sensor. In particular, there is a technique for determining a user's action state using an acceleration sensor (see, for example, Patent Document 1). As an action state, for example, it can be determined whether it is a walking state, a running state, or a train movement. According to this technique, the accuracy of action recognition is improved by means of filtering in the calculation.
Moreover, the user's action state, such as during a meal or during a meeting, can also be determined from surrounding sounds using a microphone mounted on the smartphone.
Furthermore, there are a heart rate sensor, a body temperature sensor, a blood pressure sensor, a skin myoelectric sensor, and a microphone as a living body detection sensor mounted on a wearable device (wearable terminal) that can communicate with a smartphone. For example, the heart rate sensor can determine even the mental state of the user.

JP 2010-198595 A

Stefan Dembach, et al., “Simple and Complex Activity Recognition Through Smart Phones”, 11th International Conference on Intelligent Environments, 2012. Koji Yatani and Khai N. Truong, “BodyScope: A Wearable Acoustic Sensor for Activity Recognition”, 14th ACM International Conference on Ubiquitous Computing, 2012. Jongyonn Choi, et al., “Using Heart Rate Monitors to Detect Mental Stress”, the Sixth International Workshop on Wearable and Implantable Body Sensor Networks, 2009.

According to the conventional technology as described above, a user's action state can be determined based on sensor information of a smartphone possessed by the user.
However, sensor information measured by the sensor is very sensitive and sensitive to changes in response to slight changes in the surrounding environment. The user state determined from such sensor information may change rapidly or not at all. For this reason, there is a problem that the determined user state itself lacks credibility.

  On the other hand, can the inventors of the present application determine their own user status using information in other terminals owned by other users? I thought. In particular, if information on a terminal possessed by another user who will take the same action as that user can be used, the user state can be determined with high accuracy. I thought.

  Then, an object of this invention is to provide the terminal, system, program, and method which can determine the user state of an own terminal using the information from another terminal.

According to the present invention, a terminal that receives sensor information from another terminal having various sensors,
User state rule storage means for associating user states according to sensor information;
User state determination means for determining a user state according to the sensor information using the user state rule storage means;
Terminal grouping means for grouping terminals based on a predetermined condition;
Each group has a representative state determining means for determining a representative state based on all user states of the terminals in the group.

According to another embodiment of the terminal of the present invention,
The user state determination means determines the user state according to the sensor information measured by the various sensors of the own terminal using the user state rule storage means,
It is also preferable to further have a user status correcting means for correcting the user status of the terminal itself to the representative status of the group.

According to another embodiment of the terminal of the present invention,
It is also preferable that the representative state determination unit determines the representative state based on the number of all user states in the group.

According to another embodiment of the terminal of the present invention,
Receive terminal identifiers from other terminals,
Address information storage means for storing address information including other users' phone numbers, email addresses and / or social network identifiers;
It is also preferable that the terminal grouping means group only other terminals corresponding to the address information of the own terminal as a predetermined condition.

According to another embodiment of the terminal of the present invention,
The user state determination means further calculates a recognition probability for the user state according to the sensor information,
It is also preferable that the representative state determination unit calculates the representative state based on the total product of all recognition probabilities in the group for each user state.

According to the present invention, a terminal that receives a user state determined from sensor information from a plurality of other terminals having various sensors,
Terminal grouping means for grouping terminals based on a predetermined condition;
A terminal comprising: a representative state determining unit that determines a representative state based on all user states of the terminals in the group for each group.

According to the present invention, it is a system capable of communicating between its own terminal and other terminals having various sensors,
Other terminals
It has sensor information transmitting means for transmitting sensor information measured by various sensors to its own terminal,
The terminal itself
User state rule storage means for associating user states according to sensor information;
User state determination means for determining a user state according to the sensor information using the user state rule storage means;
Terminal grouping means for grouping terminals based on a predetermined condition;
Each group has a representative state determining means for determining a representative state based on all user states of the terminals in the group.

According to the present invention, it is a system capable of communicating between its own terminal and other terminals having various sensors,
Other terminals
User state rule storage means for associating user states according to sensor information;
User state determination means for determining a user state according to the sensor information using the user state rule storage means;
User status transmission means for transmitting the user status to the own terminal;
The terminal itself
Terminal grouping means for grouping terminals based on a predetermined condition;
Each group has a representative state determining means for determining a representative state based on all user states of the terminals in the group.

According to another embodiment of the system of the present invention,
Your terminal and other terminals are connected by short-range wireless communication,
The terminal grouping means of the own terminal preferably groups a plurality of terminals that can communicate by short-range wireless as a predetermined condition.

According to another embodiment of the system of the present invention,
It is also preferable for the own terminal to group only other terminals received by radio waves having a predetermined reception strength or higher by short-range wireless communication.

According to the present invention, from another terminal having various sensors, a program for causing a computer mounted on a terminal that receives sensor information to function,
User state rule storage means for associating user states according to sensor information;
User state determination means for determining a user state according to the sensor information using the user state rule storage means;
Terminal grouping means for grouping terminals based on a predetermined condition;
For each group, the computer is caused to function as a representative state determination unit that determines a representative state based on all user states of the terminals in the group.

According to the present invention, from a plurality of other terminals having various sensors, a program for causing a computer mounted on a terminal to receive a user state determined from sensor information to function,
Terminal grouping means for grouping terminals based on a predetermined condition;
For each group, the computer is caused to function as a representative state determination unit that determines a representative state based on all user states of the terminals in the group.

According to the present invention, there is provided a user state determination method for a system capable of communicating between its own terminal and another terminal having various sensors,
The own terminal has a user state rule storage unit that associates user states according to sensor information,
A first step in which the other terminal transmits sensor information measured by various sensors to the own terminal;
A second step in which the own terminal uses the user state rule storage unit to determine the user state according to the sensor information;
A third step in which the terminal groups the terminals based on a predetermined condition;
The own terminal has, for each group, a fourth step of determining a representative state based on all user states of the terminals in the group.

According to the present invention, there is provided a user state determination method for a system capable of communicating between its own terminal and another terminal having various sensors,
The other terminal has a user state rule storage unit that associates the user state according to the sensor information,
A first step in which the other terminal uses the user state rule storage unit to determine the user state according to the sensor information;
A second step in which the other terminal transmits the user status to the own terminal;
A third step in which the terminal groups the terminals based on a predetermined condition;
The own terminal has, for each group, a fourth step of determining a representative state based on all user states of the terminals in the group.

  According to the terminal, the system, the program, and the method of the present invention, it is possible to determine the user state of the own terminal using information from another terminal.

It is a system configuration diagram in the present invention. It is a function block diagram of the terminal single-piece | unit in this invention. It is a function block diagram of the terminal in the system of this invention. It is explanatory drawing showing the memory | storage information in the sensor information storage part of this invention. It is explanatory drawing showing the memory | storage information of the user state rule memory | storage part in this invention. It is explanatory drawing showing the user state and recognition probability which were determined at each time for every terminal. It is explanatory drawing showing the memory | storage information in the address information storage part of this invention. It is explanatory drawing showing the memory | storage information in the terminal identifier memory | storage part of this invention. It is explanatory drawing showing the determination of a representative state by the majority decision of a user state. It is explanatory drawing showing determination of a representative state by the total product of the recognition probability of a user state.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

  FIG. 1 is a system configuration diagram according to the present invention.

According to the system of FIG. 1, each terminal 1 is assumed to be a smartphone or a portable terminal possessed by each user, but may be a fixed terminal as a matter of course. Each terminal 1 is equipped with at least one sensor. The sensor is as follows, for example, and the user state that can be determined is different depending on the sensor information and the combination.
For example, the user's “behavioral state” can be determined using a GPS sensor, an acceleration sensor, a geomagnetic sensor, an atmospheric pressure sensor, an air temperature sensor, and a microphone.
For example, the “mental state” of the user can be determined using a heart rate sensor, a blood pressure sensor, a skin myoelectric sensor, or a body temperature sensor.

  The communication interface of each terminal communicates with other terminals via a wide area network such as a mobile phone network or via short-range wireless. As the short-range wireless, for example, Bluetooth (registered trademark) or Zigbee (registered trademark) may be used, or a wireless LAN (Local Area Network) may be used. That terminals can communicate with each other by short-range wireless means that these terminals are staying at almost the same place.

Here, according to the present invention, there are the following two embodiments for determining the user state in the terminal itself.
<First Embodiment for Receiving “Sensor Information” from Other Terminals>
<Second Embodiment for Receiving “User Status” from Other Terminal>

<Embodiment for Receiving “Sensor Information” from Other Terminals>
FIG. 2 is a functional configuration diagram of a single terminal in the present invention.
According to FIG. 2, by receiving “sensor information” from another terminal, the user state in the own terminal is to be determined. The terminal 1 includes a sensor information storage unit 111, a user state rule storage unit 112, and a user state determination unit 113. These functional components can be realized by executing a program that causes a computer mounted on the terminal 1 to function.

  According to FIG. 2, the terminal further includes a sensor information transmission unit 124 for transmitting and receiving sensor information. The sensor information transmission unit 124 transmits sensor information measured by various sensors to other terminals. At this time, a terminal identifier that identifies the terminal may be transmitted together with the sensor information. Of course, the terminal identifier may be a physical address or an IP address, or may be a telephone number, a mail address, or an application level account.

<Second Embodiment for Receiving “User Status” from Other Terminal>
FIG. 3 is a functional block diagram of a terminal in the system of the present invention.
According to FIG. 3, the user status at the own terminal is determined by receiving “user status” from another terminal. For this purpose, the other terminal includes a sensor information storage unit 111, a user state rule storage unit 112, and a user state determination unit 113. These functional components are realized by executing a program that causes a computer installed in the terminal and / or another terminal to function.

[Sensor information storage unit 111]
The sensor information storage unit 111 stores sensor information measured by various sensors.

FIG. 4 is an explanatory diagram showing stored information in the sensor information storage unit of the present invention.
According to FIG. 4, the sensor information of other terminals may be stored without being limited to the sensor information of the own terminal. The measured sensor information is stored for each terminal identifier, and may be stored as null when measurement is unknown.

[User state rule storage unit 112]
The user state rule storage unit 112 associates “user state” according to the sensor information.

FIG. 5 is an explanatory diagram showing the storage information of the user state rule storage unit in the present invention.
According to FIG. 5, sensor information of various sensors is registered for each “behavioral state” and “mental state” as the user state. As shown in FIG. 5, not only the value of sensor information but also a change pattern of sensor information with respect to time collected from each sensor may be stored for each user state. For example, if it is an acceleration sensor, it is an acceleration change pattern for every user state. If it is a microphone, it is the change pattern of the specific frequency for every user state. If it is a heart rate sensor, the change pattern of the heart rate for every user state may be sufficient.

[User state determination unit 113]
The user state determination unit 113 uses the user state rule storage unit 112 to determine “user state” corresponding to the sensor information. As the simplest method, the user state determination unit 113 may use the user state rule storage unit 112 to search for a user state by pattern matching with respect to sensor information. For example, the sensor information acquired from the terminal and the sensor information in the user state rule storage unit 112 can be developed in a vector space, and the most similar user state can be selected.

  In addition, a machine learning engine may be applied to the user state determination unit 113. The machine learning engine is constructed by using various past sensor information as teacher data for each user state. For example, behavioral states such as “walking”, “standing”, and “sitting” using machine learning algorithms such as support vector machines using feature values of acceleration and sound data and learning data formed from correct data of user behavior There is also an existing technique for providing (see, for example, Non-Patent Documents 1 and 2). In addition, there is an existing technique that gives a mental state of “stress” and “normal” from heartbeat data (see, for example, Non-Patent Document 3).

  FIG. 6 is an explanatory diagram showing user states and recognition probabilities determined at each time for each terminal.

  The user state determination unit 113 may calculate a recognition probability for each user state according to the sensor information. The recognition probability may be, for example, the similarity to the sensor information group for each user state stored in the user state rule storage unit 112. Further, when the user state is recognized based on a pattern recognition method such as a neural network, not only the recognition result but also the misrecognition rate based on the reliability of the result can be calculated.

According to FIG. 2, the own terminal 1 b can determine the user state according to the sensor information measured by the various sensors of the own terminal and other terminals by the user state determination unit 113.
On the other hand, according to FIG. 3, the user state determined by the user state determination unit 113 of the other terminal 1a is transmitted to the own terminal 1b via the network. In this case, the own terminal 1b does not need to determine the user state of the other terminal.

  2 and 3, the terminal 1 further includes an address information storage unit 120, a terminal grouping unit 121, a representative state determination unit 122, and a user state correction unit 123. These functional components are realized by executing a program that causes a computer installed in the terminal to function. Moreover, the flow of processing of these functional components can be understood as a user state determination method.

  FIG. 6 is an explanatory diagram showing the user status and recognition probability for the terminal identifier of the present invention.

  According to FIG. 6, the user status and the recognition probability at the time of the time 2015/10/20 13:05 are represented for the terminals 1a, 1b, 1c, and 1d. Here, it is assumed that the terminal 1b is the own terminal and the user state of the user is to be determined. At this time, for example, the terminals 1a, 1c, and 1d can be other terminals. The own terminal 1b receives sensor information (and a terminal identifier) or a user state from another terminal.

[Address information storage unit 120]
The address information storage unit 120 stores address information in its own terminal.

FIG. 7 is an explanatory diagram showing stored information in the address information storage unit of the present invention.
According to FIG. 7, the address information of the own terminal and the address information of other terminals are stored. The address information is an address of another user having an acquaintance relationship viewed from the user of the terminal 1, and is, for example, a telephone number or a mail address. Of course, it may be an SNS (Social Network Service) account (social network identifier) such as Twitter (registered trademark), Facebook (registered trademark), or LINE (registered trademark). The message transmission / reception history based on these accounts can also be acquired from the server via an API (Application Programming Interface).

  In the case of SNS, other user accounts having a relationship of “friends” and “follow followers” are stored for the user account of the terminal. At this time, for each account, it may be stored as check-in information whether or not it exists in a specific spot (position range on the map). The terminals can know that other terminals are located at the same spot by accessing the SNS server via the wide area network.

  The address information also includes a telephone application call history and a mail application mail transmission / reception history. Thus, the address information is a record of some acquaintance relationship in the past. Since it is difficult to assume that the acquaintance relationship suddenly changes drastically, it may be updated for a relatively long period (for example, about once a day).

  According to FIG. 7, with respect to own terminal 1b (phone number BBB-BBBB-BBBB, mail address bbb@bbb.bbb), as other terminals, telephone numbers AAA-AAAA-AAAA, CCC-CCCC-CCCC and mail Addresses ddd@ddd.ddd and eee@eee.eee are associated with each other.

[Terminal grouping unit 121]
The terminal grouping unit 121 groups a plurality of terminals based on a predetermined condition. As the grouping of the predetermined conditions, the following various groupings are possible.
(1) Grouping of other terminals included in the address information of the determination target terminal (2) Grouping of other terminals staying at the same place by the SNS check-in function (3) Group of other terminals communicable by short-range radio (4) Of the above three, group by combining two or more

(1) Grouping of other terminals included in address information of determination target terminal As a predetermined condition, other terminals corresponding to the address information of the own terminal (determination target terminal) are grouped. At this time, it may be based on a user profile registered in the address information. The user profile is, for example, a user attribute, and for example, users belonging to the same company or users having addresses in the same city can be grouped. If the address information is, for example, a Facebook account, the accounts can be grouped based on the "friend" and "follow follower" relationships. It can be said that such users are more likely to take the same action than unrelated users, but the same depending on the type of address information used for grouping, the date and time of the target for determining the user status, and the day of the week The possibility of taking action is not as high as expected, and the determination accuracy may be reduced. Therefore, it is preferable to set it as an AND condition with other conditions such as the terminals being close to each other because accuracy is improved.

(2) Grouping of other terminals staying at the same place by the check-in function of SNS For example, according to SNS, when a store side sets a spot, terminals belonging to the position range of the spot are checked according to a user operation. In-function can be executed. Then, the fact that the user is staying at the spot is diffused by the SNS. At this time, terminals staying at the same spot can be grouped. Specifically, although it depends on the SNS, it is necessary to provide a service function that allows the API to know the accounts of terminals staying in the same spot.

(3) Grouping of other terminals communicable by short-range wireless The predetermined condition may be based on a position communicable by short-range wireless. Terminals communicable by short-range wireless are configured as a group. Here, terminals that can be communicated by short-range wireless communication are grouped without having to recognize terminal identifiers of peripheral terminals.
At this time, only other terminals that can communicate within a predetermined time (for example, 3 minutes from the start) by short-range wireless may be grouped.
Alternatively, only other terminals that can communicate within a predetermined number (for example, five from the start) by short-range wireless may be grouped.

(4) Grouping by a combination of two or more of the above three For example, it is possible to group other terminals that are included in the address information (1) of the own terminal and are communicable by short-range radio (3) . Only terminals having some kind of acquaintance and existing in the same place can be grouped. Only when the telephone number or e-mail address of the peripheral terminal that has been able to communicate by short-range wireless communication is registered as the address information of the own terminal, it can be determined that they are in the same group.

  The terminal grouping unit 121 may optionally further include a terminal identifier storage unit.

  FIG. 8 is an explanatory diagram showing stored information in the terminal identifier storage unit of the present invention.

  The terminal identifier storage unit stores terminal identifiers received from one or more other terminals in order to group terminals. This is a terminal identifier of a communicable terminal, which is obtained via either a wide area network or a short-range wireless. In addition, as described in (3) above, when grouping is performed only by terminals that are communicable by short-range wireless communication, it is not necessary to store terminal identifiers.

  For example, in the case of using short-range wireless communication, the terminal identifier storage unit may store the peripheral terminal identifier only for the peripheral terminal that has received the radio wave having a predetermined reception strength or higher. As the reception strength, RSSI (Received Signal Strength Indication) is used. Since the RSSI increases as the distance between the terminals is shorter, it is possible to determine that a peripheral terminal that receives a radio wave with a predetermined reception strength or higher is located within a predetermined distance range. For example, when it is considered that peripheral terminals within a radius of 3 m are located at the same place, RSSI corresponding to the radio wave arrival distance 3 m is set as the predetermined reception strength.

[Representative state determination unit 122]
The representative state determination unit 122 determines a representative state based on all user states of the terminals in the group for each group. The representative state of the group is determined to be the user state of the users in the group.
For example, when users of terminals that can communicate via a wide area network are grouped, it is determined that users having an acquaintance relationship are in the same user state.
Further, for example, when users of terminals that can communicate via short-range wireless are grouped together, it is determined that they are in the same user state as staying in the same place.

  The representative state is determined by the number of all user states in the group. For example, the user state that first reaches the predetermined threshold number may be determined as the representative state. In addition, for example, it may be determined by any one of the “majority decision method” and the “recognition probability total product method”.

<Majority method>
The representative state may be determined by, for example, a majority vote of all user states in the group.

  FIG. 9 is an explanatory diagram showing determination of the representative state by majority decision of the user state.

According to FIG. 9, AAA-AAAA-AAA, CCC-CCCC-CCCC, ddd@ddd.ddd, eee@eee.eee are registered in the address information storage unit 120 for the user terminal 1b. . In the terminal identifier storage unit, terminal identifiers 1a, 1c, and 1d that can be communicated by short-range wireless are registered on 2015/10/20 13:05 with respect to the user terminal 1b. In this case, the group for the user terminal 1b is the terminal 1a, 1c, or 1d, which is a trap between the address information and the terminal identifier. On the other hand, the terminal 1e has some acquaintance relationship with the terminal 1b, but is determined not to stay in the same place. That is, it is determined that the terminals 1a, 1c, and 1d have some acquaintance relationship with the terminal 1b and stay in the same place.
Address registration (acquaintance relationship) set for user terminal i: Hi
Near field communication (same place) set at time t for user terminal i: Uit
User's terminal i group: Hi∩Uit

The recognition result of user i at time t is expressed as follows.
l _it ^m : upper m-th user state p _it ^m : recognition probability corresponding to the user state R _it ^m = {l _it ^m , p _it ^m }: recognition result R _it = {R _it ¹ , R _it ² , R _it ³ ,..., R _it ^s } (s: number of user states)

By majority vote using only the top first user state, the following user state l is set as a recognition result.
max (Σ _{i = 1} ^{n ′} f (i, l) / n) (n ′: number of users included in user set)
User state l satisfying f (i, l) = if l _it ¹ = 1 then 1, otherwise 0

  According to FIG. 9, the highest level recognition results of the users 1a, 1b, 1c, and 1d at the times 2015/10/20 13:00 to 13:10 are “viewing”, “conversation”, “meal”, “ Conversation ”, and mental states are“ stress ”,“ normal ”,“ stress ”, and“ stress ”. From the majority decision, the representative state is recognized as “conversation” for the behavioral state and “stress” for the mental state.

<Recognition probability total product method>
The representative state may be based on the total product of all recognition probabilities in the group for each user state, for example.

  FIG. 10 is an explanatory diagram illustrating the determination of the representative state by the total product of the user state recognition probabilities.

Using the user states and recognition probabilities included in all recognition results, a user state 1 satisfying the following may be used as the recognition result.
max (Π _{i = 1} ^{n '} Σ _{m = 1} ^s g (i, l)
g (i, l) = if l _it ^m = 1 then l _it ^m × p _it ^m , user state l satisfying otherwise 0
For a plurality of users belonging to the same group, the total recognition probability is summed for each user state, and the user state having the highest total recognition probability is defined as the representative state.

According to FIG. 10, the recognition probabilities are totalized for each behavioral state or for each mental state for the group based on the terminal 1b of the user. Note that the user status that is not recognized in FIG. 6 is calculated as a recognition probability of 0.1.
Action state “viewing”: 0.6 × 0.4 × 0.3 × 0.4 = 0.0288
Action state "Conversation": 0.3 x 0.6 x 0.3 x 0.6 = 0.0075
Behavioral state “meal”: 0.1 × 0.1 × 0.6 × 0.1 = 0.006
Mental condition “stress”: 0.7 × 0.3 × 0.6 × 0.6 = 0.0756
Mental state "sorrow": 0.2 x 0.1 x 0.3 x 0.1 = 0.0006
Mental state "excitement": 0.1 x 0.1 x 0.1 x 0.3 = 0.0003
Mental state “normal”: 0.1 × 0.6 × 0.1 × 0.1 = 0.006
Here, the representative state is the action state “viewing” and the mental state “stress”. In this regard, the representative state to be selected is different compared to the majority method.

[User status correction unit 123]
The user status correction unit 123 corrects the user status of the terminal itself to the representative status of the group. Accordingly, it is possible to correct the user state with high accuracy by using sensor information of a terminal possessed by another user who will take the same action as the user. The corrected user state is output to the application and used for various purposes.

  As described above in detail, according to the terminal, system, program, and method of the present invention, it is possible to determine the user status of the own terminal using information from another terminal. In particular, by receiving “sensor information” or “user status” from another terminal possessed by another user who will take the same action as that user, the user status of the terminal can be determined. it can. In addition, the user state of the user who owns the terminal is determined as being in the same state as other users who have other terminals that have an acquaintance relationship. In particular, the user state estimated only from the sensor information of the own terminal can be corrected by the user state estimated based on the sensor information of other terminals.

  Various changes, modifications, and omissions of the above-described various embodiments of the present invention can be easily made by those skilled in the art. The above description is merely an example, and is not intended to be restrictive. The invention is limited only as defined in the following claims and the equivalents thereto.

DESCRIPTION OF SYMBOLS 1 Terminal 111 Sensor information storage part 112 User state rule storage part 113 User state determination part 120 Address information storage part 121 Terminal grouping part 122 Representative state determination part 123 User state correction part 124 Sensor information transmission part

Claims (14)

A terminal that receives sensor information from another terminal having various sensors,
User state rule storage means for associating user states according to sensor information;
User state determination means for determining a user state according to the sensor information using the user state rule storage means;
Terminal grouping means for grouping the terminals based on a predetermined condition;
A terminal having a representative state determining unit that determines a representative state based on all the user states of the terminals in the group for each group. The user state determination unit determines a user state according to the sensor information measured by various sensors of the terminal using the user state rule storage unit,
The terminal according to claim 1, further comprising user status correction means for correcting the user status of the terminal itself to a representative status of the group. The terminal according to claim 1, wherein the representative state determination unit determines a representative state based on the number of all the user states in the group. A terminal identifier is further received from the other terminal,
Address information storage means for storing address information including other users' phone numbers, email addresses and / or social network identifiers;
The terminal according to any one of claims 1 to 3, wherein the terminal grouping unit groups only other terminals corresponding to the address information of the terminal as the predetermined condition. The user state determination means further calculates a recognition probability for the user state according to the sensor information,
5. The terminal according to claim 1, wherein the representative state determination unit calculates a representative state based on a total product of all the recognition probabilities in the group for each user state. . A terminal that receives a user state determined from sensor information from a plurality of other terminals having various sensors,
Terminal grouping means for grouping the terminals based on a predetermined condition;
A terminal having a representative state determining unit that determines a representative state based on all the user states of the terminals in the group for each group. It is a system that can communicate between its own terminal and other terminals having various sensors,
The other terminal is
Having sensor information transmitting means for transmitting sensor information measured by various sensors to the terminal;
The terminal itself
User state rule storage means for associating user states according to sensor information;
User state determination means for determining a user state according to the sensor information using the user state rule storage means;
Terminal grouping means for grouping the terminals based on a predetermined condition;
The system comprising: a representative state determining unit that determines a representative state based on all the user states of the terminals in the group for each group. It is a system that can communicate between its own terminal and other terminals having various sensors,
The other terminal is
User state rule storage means for associating user states according to sensor information;
User state determination means for determining a user state according to the sensor information using the user state rule storage means;
User status transmitting means for transmitting the user status to the terminal;
The terminal itself
Terminal grouping means for grouping the terminals based on a predetermined condition;
The system comprising: a representative state determining unit that determines a representative state based on all the user states of the terminals in the group for each group. The own terminal and the other terminal are connected by short-range wireless communication,
The system according to claim 7 or 8, wherein the terminal grouping unit of the own terminal groups a plurality of terminals communicable by short-range wireless as the predetermined condition. The system according to claim 9, wherein the own terminal groups only other terminals received by radio waves having a predetermined reception strength or higher by the short-range wireless communication. A program for causing a computer mounted on a terminal to receive sensor information from another terminal having various sensors to function.
User state rule storage means for associating user states according to sensor information;
User state determination means for determining a user state according to the sensor information using the user state rule storage means;
Terminal grouping means for grouping the terminals based on a predetermined condition;
A program for a terminal, which causes a computer to function as representative state determination means for determining a representative state based on all the user states of the terminals in the group for each group. A program for causing a computer mounted on a terminal to receive a user state determined from sensor information from a plurality of other terminals having various sensors,
Terminal grouping means for grouping the terminals based on a predetermined condition;
A program for a terminal, which causes a computer to function as representative state determination means for determining a representative state based on all the user states of the terminals in the group for each group. A user status determination method for a system capable of communicating between its own terminal and another terminal having various sensors,
The own terminal has a user state rule storage unit that associates a user state according to sensor information;
A first step in which the other terminal transmits sensor information measured by various sensors to the terminal;
A second step in which the terminal itself determines a user state according to the sensor information using the user state rule storage unit;
A third step in which the terminal groups the terminals based on a predetermined condition;
The self-terminal includes a fourth step of determining, for each group, a representative state based on all the user states of the terminals in the group. A user status determination method for a system capable of communicating between its own terminal and another terminal having various sensors,
The other terminal has a user state rule storage unit that associates a user state according to sensor information,
The other terminal uses the user state rule storage unit to determine a user state according to the sensor information; and
A second step in which the other terminal transmits the user status to the terminal;
A third step in which the terminal groups the terminals based on a predetermined condition;
The self-terminal includes a fourth step of determining, for each group, a representative state based on all the user states of the terminals in the group.

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