JP2016050868A5 - - Google Patents
Download PDFInfo
- Publication number
- JP2016050868A5 JP2016050868A5 JP2014176802A JP2014176802A JP2016050868A5 JP 2016050868 A5 JP2016050868 A5 JP 2016050868A5 JP 2014176802 A JP2014176802 A JP 2014176802A JP 2014176802 A JP2014176802 A JP 2014176802A JP 2016050868 A5 JP2016050868 A5 JP 2016050868A5
- Authority
- JP
- Japan
- Prior art keywords
- behavior
- user
- candidates
- action
- types
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 claims description 2
- 230000006399 behavior Effects 0.000 claims 40
- 230000001133 acceleration Effects 0.000 claims 5
- 230000000694 effects Effects 0.000 claims 2
- 230000000875 corresponding Effects 0.000 claims 1
- 230000004807 localization Effects 0.000 claims 1
Description
前記課題を解決するために、
本発明の第1の発明は、
ユーザの行動を推定する行動推定装置であって、
前記ユーザの位置を特定する位置特定手段と、
前記位置特定手段によって特定された位置と対応付けられた複数種類の行動候補を取得する取得手段と、
前記ユーザの状態を検出するセンサデータに基づいて、前記取得手段によって取得された前記複数の行動候補の何れか一つを、前記ユーザの行動として推定する処理手段と、を備える
ことを特徴とする行動推定装置である。
In order to solve the above problem,
The first invention of the present invention is:
A behavior estimation device that estimates a user's behavior,
Position specifying means for specifying the position of the user;
Acquisition means for acquiring an action candidates for a plurality of types associated with the position specified by the position specifying means,
Processing means for estimating any one of the plurality of behavior candidates acquired by the acquisition means as the user's behavior based on sensor data for detecting the user's state. It is an action estimation device.
また、第2の発明は、
ユーザの行動を推定する行動推定装置による行動推定方法であって、
前記ユーザの位置を特定する位置特定ステップと、
特定された位置と対応付けられた複数種類の行動候補を取得する取得ステップと、
前記ユーザの状態を検出するセンサデータに基づいて、前記取得ステップによって取得された前記複数の行動候補の何れか一つを、前記ユーザの行動として推定する処理ステップと、
を含むことを特徴とする行動推定方法である。
In addition, the second invention,
A behavior estimation method by the behavior estimating apparatus for estimating the behavior of Yu over The,
A position identifying step for identifying the position of the user;
An acquisition step of acquiring a plurality of types of actions candidates associated with a particular position,
A process step of estimating any one of the plurality of behavior candidates acquired by the acquisition step as the user's behavior based on sensor data for detecting the state of the user ;
It is the action estimation method characterized by including this.
Claims (11)
前記ユーザの位置を特定する位置特定手段と、Position specifying means for specifying the position of the user;
前記位置特定手段によって特定された位置と対応付けられた複数種類の行動候補を取得する取得手段と、An acquisition means for acquiring a plurality of types of action candidates associated with the position specified by the position specifying means;
前記ユーザの状態を検出するセンサデータに基づいて、前記取得手段によって取得された前記複数の行動候補の何れか一つを、前記ユーザの行動として推定する処理手段と、を備えるProcessing means for estimating any one of the plurality of behavior candidates acquired by the acquisition means as the user's behavior based on sensor data for detecting the user's state.
ことを特徴とする行動推定装置。An action estimation device characterized by the above.
前記処理手段は、前記ユーザの状態を検出するセンサデータを用いて、前記ユーザの行動に関する前記複数種類の行動候補それぞれの尤度を算出し、当該尤度と前記取得手段によって取得された前記複数の行動候補それぞれの発生確率とに基づいて前記ユーザの行動を推定する
ことを特徴とする請求項1に記載の行動推定装置。 The acquisition means acquires action information indicating the occurrence probability of each of a plurality of types of action candidates associated with the position specified by the position specifying means ,
The processing means calculates the likelihood of each of the plurality of types of action candidates related to the user's action using sensor data for detecting the user's state, and the likelihood and the plurality of the plurality of actions acquired by the acquisition means We estimate the behavior of the user based on the respective behavior candidate probability of occurrence
Action estimating device according to claim 1, wherein the this.
前記算出した前記ユーザの行動に関する前記複数種類の行動候補それぞれの尤度のうち、上位2つの差が所定の閾値以上であった場合に、
前記複数種類の行動候補それぞれの尤度のうち、一番大きい尤度に対応する行動候補を前記ユーザの行動と推定し、
前記算出した前記ユーザの行動に関する前記複数種類の行動候補それぞれの尤度のうち、上位2つの差が所定の閾値未満であった場合に、
前記取得手段によって取得された前記複数の行動候補それぞれの発生確率と、前記算出した尤度とに基づいて前記ユーザの行動を推定する
ことを特徴とする請求項2に記載の行動推定装置。 The processing means includes
Of the likelihood of each of the plurality of types of behavior candidates related to the calculated behavior of the user, when the top two differences are equal to or greater than a predetermined threshold,
Of the likelihood of each of the plurality of types of behavior candidates, the behavior candidate corresponding to the largest likelihood is estimated as the user's behavior,
Of the likelihood of each of the plurality of types of behavior candidates regarding the calculated behavior of the user, when the difference between the top two is less than a predetermined threshold,
The behavior estimation apparatus according to claim 2 , wherein the behavior of the user is estimated based on the occurrence probability of each of the plurality of behavior candidates acquired by the acquisition unit and the calculated likelihood.
ことを特徴とする請求項1乃至3のいずれか1項に記載の行動推定装置。 It said position specifying means uses the signals from a plurality of GPS satellites, activity estimation device according to any one of claims 1 to 3, characterized in that locating the user.
前記位置特定手段は、複数のGPS衛星からの信号に加えて、前記加速度センサから出力された加速度データを用いて、前記ユーザの位置を特定する
ことを特徴とする請求項4に記載の行動推定装置。 An acceleration sensor that detects acceleration of the user's movement and outputs acceleration data;
The behavior estimation according to claim 4 , wherein the position specifying unit specifies the position of the user by using acceleration data output from the acceleration sensor in addition to signals from a plurality of GPS satellites. apparatus.
ことを特徴とする請求項2乃至5のいずれか1項に記載の行動推定装置。 The behavior estimation apparatus according to any one of claims 2 to 5 , wherein the behavior information includes behavior information obtained by analyzing past behaviors of the user.
ことを特徴とする請求項2乃至5のいずれか1項に記載の行動推定装置。 The behavior estimation apparatus according to any one of claims 2 to 5 , wherein the behavior information includes behavior information obtained by analyzing behaviors of a plurality of persons.
ことを特徴とする請求項2乃至7のいずれか1項に記載の行動推定装置。 The behavior estimation apparatus according to any one of claims 2 to 7 , wherein the acquisition unit acquires the behavior information from a server that is connected to the behavior estimation apparatus.
前記記憶手段に記憶された地図情報に、前記処理手段が推定した前記ユーザの行動を、行動の種類が識別可能に重ね合わせて表示する表示手段と、をさらに備える
ことを特徴とする請求項1乃至8のいずれか1項に記載の行動推定装置。 Storage means for storing map information;
The map information stored in the storage means further comprises display means for displaying the user's behavior estimated by the processing means in an overlapping manner so that the type of behavior can be identified. The action estimation device according to any one of 1 to 8 .
前記ユーザの位置を特定する位置特定ステップと、
特定された位置と対応付けられた複数種類の行動候補を取得する取得ステップと、
前記ユーザの状態を検出するセンサデータに基づいて、前記取得ステップによって取得された前記複数の行動候補の何れか一つを、前記ユーザの行動として推定する処理ステップと、
を含むことを特徴とする行動推定方法。 A behavior estimation method by the behavior estimating apparatus for estimating the behavior of Yu over The,
A position identifying step for identifying the position of the user;
An acquisition step of acquiring a plurality of types of actions candidates associated with a particular position,
A process step of estimating any one of the plurality of behavior candidates acquired by the acquisition step as the user's behavior based on sensor data for detecting the state of the user ;
A behavior estimation method comprising:
前記位置特定手段によって特定された位置と対応付けられた複数種類の行動候補を取得する取得手段、
前記ユーザの状態を検出するセンサデータに基づいて、前記取得ステップによって取得された前記複数の行動候補の何れか一つを、前記ユーザの行動として推定する処理手段
として機能させるための行動推定プログラム。 The computer activity estimation device comprises for estimating the behavior of the user with the localization means to identify the location of the user,
Acquisition means to obtain the action candidates for a plurality of types associated with the position specified by the position specifying means,
Based on the sensor data for detecting the state of the user, any one of the plurality of behavior candidates obtained by the obtaining step, the behavior estimation program to function as processing means for estimating a behavior of the user.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2014176802A JP6459311B2 (en) | 2014-09-01 | 2014-09-01 | Action estimation device, action estimation method, and action estimation program |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2014176802A JP6459311B2 (en) | 2014-09-01 | 2014-09-01 | Action estimation device, action estimation method, and action estimation program |
Publications (3)
Publication Number | Publication Date |
---|---|
JP2016050868A JP2016050868A (en) | 2016-04-11 |
JP2016050868A5 true JP2016050868A5 (en) | 2017-08-31 |
JP6459311B2 JP6459311B2 (en) | 2019-01-30 |
Family
ID=55658468
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
JP2014176802A Active JP6459311B2 (en) | 2014-09-01 | 2014-09-01 | Action estimation device, action estimation method, and action estimation program |
Country Status (1)
Country | Link |
---|---|
JP (1) | JP6459311B2 (en) |
Families Citing this family (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP6809007B2 (en) * | 2016-07-07 | 2021-01-06 | カシオ計算機株式会社 | Information processing equipment, information processing system, information processing method, and program |
JP6645957B2 (en) * | 2016-12-16 | 2020-02-14 | 株式会社東芝 | Motion estimation method and motion estimation system |
JP7052604B2 (en) * | 2018-07-05 | 2022-04-12 | 富士通株式会社 | Business estimation method, information processing device, and business estimation program |
JP7294121B2 (en) * | 2019-12-25 | 2023-06-20 | トヨタ自動車株式会社 | Information processing device, information processing method, and program |
Family Cites Families (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2010014592A (en) * | 2008-07-04 | 2010-01-21 | Univ Waseda | Moving means determining device and moving means determination method |
JP5637563B2 (en) * | 2011-01-26 | 2014-12-10 | Kddi株式会社 | Positioning start control method, mobile terminal and program for controlling start of positioning unit |
JP5588473B2 (en) * | 2012-03-27 | 2014-09-10 | 株式会社ゼンリンデータコム | Server, route search system, information processing method, and computer program |
-
2014
- 2014-09-01 JP JP2014176802A patent/JP6459311B2/en active Active
Similar Documents
Publication | Publication Date | Title |
---|---|---|
WO2017184724A8 (en) | Systems and methods for sensor data analysis through machine learning | |
JP2016524197A5 (en) | Computer-implemented method for capturing measurement data and annotating measurement data, system therefor, and computer-readable medium | |
JP2015526168A5 (en) | ||
RU2017102674A (en) | MONITORING OBJECTS IN A DYNAMIC ENVIRONMENT FOR IMPROVED LOCALIZATION | |
JP2010134649A5 (en) | ||
JP2017516087A5 (en) | ||
RU2016150428A (en) | FILLING IN THE USER CONTACTS | |
MX366083B (en) | Own-position estimating device and own-position estimating method. | |
WO2015095176A3 (en) | Methods and systems for locating items and determining item locations | |
WO2014025696A3 (en) | Object tracking | |
JP2016513843A5 (en) | ||
JP2014523573A5 (en) | ||
JP2013045433A5 (en) | ||
JP2014524023A5 (en) | ||
JP2017508131A5 (en) | ||
JP2017516091A5 (en) | ||
WO2015157344A3 (en) | Systems and methods for large scale crowdsourcing of map data location, cleanup, and correction | |
JP2014116912A5 (en) | ||
JP2016143157A5 (en) | ||
WO2014006423A3 (en) | Method of estimating position of user device | |
JP2018506759A5 (en) | ||
GB2578555A (en) | Management of mobile objects | |
JP2016050868A5 (en) | ||
JP2014236775A5 (en) | ||
JP2013161405A5 (en) | Subject determination device, subject determination method, and program |