WO2019199365A3 - Utilizing context information of environment component regions for event/activity prediction - Google Patents

Utilizing context information of environment component regions for event/activity prediction Download PDF

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Publication number
WO2019199365A3
WO2019199365A3 PCT/US2019/014423 US2019014423W WO2019199365A3 WO 2019199365 A3 WO2019199365 A3 WO 2019199365A3 US 2019014423 W US2019014423 W US 2019014423W WO 2019199365 A3 WO2019199365 A3 WO 2019199365A3
Authority
WO
WIPO (PCT)
Prior art keywords
context information
event
component regions
environment component
activity prediction
Prior art date
Application number
PCT/US2019/014423
Other languages
French (fr)
Other versions
WO2019199365A2 (en
Inventor
Saxena Ashutosh
Zhou JINJING
Chu Maurice
Deng DENG
Lad KUNAL
Venkatesh ASHWINI
Original Assignee
BrainofT Inc.
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Priority claimed from US15/953,238 external-priority patent/US10931758B2/en
Application filed by BrainofT Inc. filed Critical BrainofT Inc.
Priority to JP2020544942A priority Critical patent/JP2021518004A/en
Publication of WO2019199365A2 publication Critical patent/WO2019199365A2/en
Publication of WO2019199365A3 publication Critical patent/WO2019199365A3/en

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L65/00—Network arrangements, protocols or services for supporting real-time applications in data packet communication
    • H04L65/60—Network streaming of media packets
    • H04L65/61—Network streaming of media packets for supporting one-way streaming services, e.g. Internet radio
    • H04L65/612—Network streaming of media packets for supporting one-way streaming services, e.g. Internet radio for unicast

Abstract

Sensor data is received from a physical environment sensor. A component region associated with at least a portion of the sensor data is identified. A physical environment has been defined to include a plurality of component regions. Context information associated with the identified component region is obtained. The context information is utilized in association with a prediction model.
PCT/US2019/014423 2018-04-13 2019-01-21 Utilizing context information of environment component regions for event/activity prediction WO2019199365A2 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP2020544942A JP2021518004A (en) 2018-04-13 2019-01-21 Use of contextual information in the environment component area for event / activity prediction

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US15/953,238 2018-04-13
US15/953,238 US10931758B2 (en) 2016-11-17 2018-04-13 Utilizing context information of environment component regions for event/activity prediction

Publications (2)

Publication Number Publication Date
WO2019199365A2 WO2019199365A2 (en) 2019-10-17
WO2019199365A3 true WO2019199365A3 (en) 2020-01-16

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2019/014423 WO2019199365A2 (en) 2018-04-13 2019-01-21 Utilizing context information of environment component regions for event/activity prediction

Country Status (2)

Country Link
JP (1) JP2021518004A (en)
WO (1) WO2019199365A2 (en)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111650844B (en) * 2020-05-29 2023-04-07 意诺科技有限公司 Intelligent equipment control panel and control method thereof
JP7429926B2 (en) 2020-11-27 2024-02-09 日本電信電話株式会社 Communication support devices, methods and programs
WO2023217745A1 (en) * 2022-05-10 2023-11-16 Signify Holding B.V. A system and method for assessing a health status of a user based on interactions with lighting control interfaces
JP7297355B1 (en) 2023-02-28 2023-06-26 Ｈｕｂｂｉｔ株式会社 Personalization method, computer program and personalization system

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US20150351145A1 (en) * 2014-02-05 2015-12-03 Apple Inc. Controller networks for an accessory management system
US20160072891A1 (en) * 2014-09-08 2016-03-10 Leeo, Inc. Sensor-data sub-contracting during environmental monitoring
US20160248847A1 (en) * 2015-02-24 2016-08-25 BrainofT Inc. Automatically learning and controlling connected devices
WO2017045025A1 (en) * 2015-09-15 2017-03-23 Commonwealth Scientific And Industrial Research Organisation Activity capability monitoring

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JP4146650B2 (en) * 2002-02-18 2008-09-10 三菱電機株式会社 Home controller
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JP2015146514A (en) * 2014-02-03 2015-08-13 パナソニックＩｐマネジメント株式会社 Sensor management system, sensor management method, and sensor management program
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JP2016218801A (en) * 2015-05-21 2016-12-22 株式会社東芝 Action estimation device, action estimation method and action estimation program
JP6452593B2 (en) * 2015-10-30 2019-01-16 三菱電機株式会社 Information processing apparatus and information processing method
JP6650305B2 (en) * 2016-03-17 2020-02-19 国立研究開発法人産業技術総合研究所 Behavior analysis system and program

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150351145A1 (en) * 2014-02-05 2015-12-03 Apple Inc. Controller networks for an accessory management system
US20160072891A1 (en) * 2014-09-08 2016-03-10 Leeo, Inc. Sensor-data sub-contracting during environmental monitoring
US20160248847A1 (en) * 2015-02-24 2016-08-25 BrainofT Inc. Automatically learning and controlling connected devices
WO2017045025A1 (en) * 2015-09-15 2017-03-23 Commonwealth Scientific And Industrial Research Organisation Activity capability monitoring

Also Published As

Publication number Publication date
JP2021518004A (en) 2021-07-29
WO2019199365A2 (en) 2019-10-17

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