WO2014146011A3 - Determining activities from sensed motion signals - Google Patents

Determining activities from sensed motion signals Download PDF

Info

Publication number
WO2014146011A3
WO2014146011A3 PCT/US2014/030880 US2014030880W WO2014146011A3 WO 2014146011 A3 WO2014146011 A3 WO 2014146011A3 US 2014030880 W US2014030880 W US 2014030880W WO 2014146011 A3 WO2014146011 A3 WO 2014146011A3
Authority
WO
WIPO (PCT)
Prior art keywords
motion
activity
motion signals
motion sensor
signals
Prior art date
Application number
PCT/US2014/030880
Other languages
French (fr)
Other versions
WO2014146011A2 (en
Inventor
Thomas Alan Donaldson
Original Assignee
Aliphcom
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
Application filed by Aliphcom filed Critical Aliphcom
Priority to EP14763907.4A priority Critical patent/EP2967446A2/en
Priority to AU2014232247A priority patent/AU2014232247A1/en
Priority to CA2907411A priority patent/CA2907411A1/en
Priority to RU2015144123A priority patent/RU2015144123A/en
Publication of WO2014146011A2 publication Critical patent/WO2014146011A2/en
Publication of WO2014146011A3 publication Critical patent/WO2014146011A3/en

Links

Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1118—Determining activity level
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7235—Details of waveform analysis
    • A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01P—MEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
    • G01P13/00—Indicating or recording presence, absence, or direction, of movement
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01P—MEASURING LINEAR OR ANGULAR SPEED, ACCELERATION, DECELERATION, OR SHOCK; INDICATING PRESENCE, ABSENCE, OR DIRECTION, OF MOVEMENT
    • G01P21/00—Testing or calibrating of apparatus or devices covered by the preceding groups
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2560/00—Constructional details of operational features of apparatus; Accessories for medical measuring apparatus
    • A61B2560/02—Operational features
    • A61B2560/0223—Operational features of calibration, e.g. protocols for calibrating sensors
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems

Landscapes

  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Surgery (AREA)
  • General Health & Medical Sciences (AREA)
  • Biophysics (AREA)
  • Pathology (AREA)
  • Artificial Intelligence (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Medical Informatics (AREA)
  • Molecular Biology (AREA)
  • Physiology (AREA)
  • Animal Behavior & Ethology (AREA)
  • Veterinary Medicine (AREA)
  • Public Health (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Dentistry (AREA)
  • Evolutionary Computation (AREA)
  • Fuzzy Systems (AREA)
  • Mathematical Physics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Psychiatry (AREA)
  • Signal Processing (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
  • User Interface Of Digital Computer (AREA)

Abstract

Embodiments of the invention relate generally to electrical and electronic hardware, computer software, wired and wireless network communications, and wearable computing devices for facilitating health and wellness-related information. More specifically, disclosed are systems, methods, devices, computer readable medium, and apparatuses configured to determine activity and activity types, including gestures, from sensed motion signals using, for example, a wearable device (or carried device) and one or more motion sensors. In at least some embodiments, an apparatus can include a wearable housing, and a motion sensor configured to generate a motion sensor signal. The apparatus also may include a motion processor configured to generate intermediate motion signals from the motion sensor signal, and an activity processor configured to identify an activity based on the intermediate motion signals.
PCT/US2014/030880 2013-03-15 2014-03-17 Feature extraction and classification to determine one or more activities from sensed motion signals WO2014146011A2 (en)

Priority Applications (4)

Application Number Priority Date Filing Date Title
EP14763907.4A EP2967446A2 (en) 2013-03-15 2014-03-17 Determining activities from sensed motion signals
AU2014232247A AU2014232247A1 (en) 2013-03-15 2014-03-17 Determining activities from sensed motion signals
CA2907411A CA2907411A1 (en) 2013-03-15 2014-03-17 Feature extraction and classification to determine one or more activities from sensed motion signals
RU2015144123A RU2015144123A (en) 2013-03-15 2014-03-17 ISOLATION AND CLASSIFICATION OF SIGNS FOR DETERMINING ONE OR MORE ACTIONS FROM RECOGNIZED MOVEMENT SIGNALS

Applications Claiming Priority (8)

Application Number Priority Date Filing Date Title
US201361802303P 2013-03-15 2013-03-15
US201361801775P 2013-03-15 2013-03-15
US201361802171P 2013-03-15 2013-03-15
US61/802,303 2013-03-15
US61/802,171 2013-03-15
US61/801,775 2013-03-15
US14/215,038 2014-03-16
US14/215,038 US20140278208A1 (en) 2013-03-15 2014-03-16 Feature extraction and classification to determine one or more activities from sensed motion signals

Publications (2)

Publication Number Publication Date
WO2014146011A2 WO2014146011A2 (en) 2014-09-18
WO2014146011A3 true WO2014146011A3 (en) 2014-11-06

Family

ID=51531692

Family Applications (2)

Application Number Title Priority Date Filing Date
PCT/US2014/029820 WO2014145122A2 (en) 2013-03-15 2014-03-14 Identification of motion characteristics to determine activity
PCT/US2014/030880 WO2014146011A2 (en) 2013-03-15 2014-03-17 Feature extraction and classification to determine one or more activities from sensed motion signals

Family Applications Before (1)

Application Number Title Priority Date Filing Date
PCT/US2014/029820 WO2014145122A2 (en) 2013-03-15 2014-03-14 Identification of motion characteristics to determine activity

Country Status (6)

Country Link
US (1) US20140278208A1 (en)
EP (1) EP2967446A2 (en)
AU (1) AU2014232247A1 (en)
CA (1) CA2907411A1 (en)
RU (1) RU2015144123A (en)
WO (2) WO2014145122A2 (en)

Families Citing this family (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10652696B2 (en) * 2014-07-30 2020-05-12 Trusted Positioning, Inc. Method and apparatus for categorizing device use case for on foot motion using motion sensor data
KR20160035394A (en) * 2014-09-23 2016-03-31 삼성전자주식회사 Method and apparatus for processing sensor data
US9952675B2 (en) 2014-09-23 2018-04-24 Fitbit, Inc. Methods, systems, and apparatuses to display visibility changes responsive to user gestures
US10488222B2 (en) * 2015-11-02 2019-11-26 David Martin Mobile device control leveraging user kinematics
US9613197B2 (en) * 2014-11-10 2017-04-04 Wipro Limited Biometric user authentication system and a method therefor
US20160143571A1 (en) * 2014-11-26 2016-05-26 Wipro Limited Method and system for determining psychological disorder condition in a person and providing assistance therefor
CN104407709B (en) * 2014-12-09 2015-12-02 北京银河润泰科技有限公司 The disposal route of the wearing state of wearable device and device
WO2016096443A1 (en) * 2014-12-18 2016-06-23 Koninklijke Philips N.V. Activity classification and communication system for wearable medical device
US9819560B2 (en) * 2014-12-24 2017-11-14 Mediatek Inc. Dynamic data distribution method in private network and associated electronic device
CN106339071A (en) * 2015-07-08 2017-01-18 中兴通讯股份有限公司 Method and device for identifying behaviors
US11350853B2 (en) 2018-10-02 2022-06-07 Under Armour, Inc. Gait coaching in fitness tracking systems
US11704568B2 (en) * 2018-10-16 2023-07-18 Carnegie Mellon University Method and system for hand activity sensing
WO2020217158A1 (en) * 2019-04-25 2020-10-29 Cochlear Limited Activity classification of balance prosthesis recipient
JP7452324B2 (en) * 2020-08-18 2024-03-19 トヨタ自動車株式会社 Operating state monitoring system, training support system, operating state monitoring system control method, and control program
US20220095957A1 (en) * 2020-09-25 2022-03-31 Apple Inc. Estimating Caloric Expenditure Based on Center of Mass Motion and Heart Rate
CN112711334A (en) * 2021-01-15 2021-04-27 维沃移动通信有限公司 Screen control method and device and electronic equipment

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030208335A1 (en) * 1996-07-03 2003-11-06 Hitachi, Ltd. Method, apparatus and system for recognizing actions
US7056297B2 (en) * 2001-12-28 2006-06-06 Matsushita Electric Works, Ltd. Wearable human motion applicator
US20100152600A1 (en) * 2008-04-03 2010-06-17 Kai Sensors, Inc. Non-contact physiologic motion sensors and methods for use
US20120303312A1 (en) * 2011-05-25 2012-11-29 University Of Central Florida Research Foundation, Inc. Systems And Methods For Detecting Small Pattern Changes In Sensed Data
US20130029681A1 (en) * 2011-03-31 2013-01-31 Qualcomm Incorporated Devices, methods, and apparatuses for inferring a position of a mobile device

Family Cites Families (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6122960A (en) * 1995-12-12 2000-09-26 Acceleron Technologies, Llc. System and method for measuring movement of objects
US7942824B1 (en) * 2005-11-04 2011-05-17 Cleveland Medical Devices Inc. Integrated sleep diagnostic and therapeutic system and method
US8949070B1 (en) * 2007-02-08 2015-02-03 Dp Technologies, Inc. Human activity monitoring device with activity identification
US9295412B2 (en) * 2007-08-15 2016-03-29 Integrity Tracking, Llc Wearable health monitoring device and methods for step detection
WO2009111427A2 (en) * 2008-03-04 2009-09-11 The Regents Of The University Of California Apparatus and method for implementing a mobility aid device
WO2010090867A2 (en) * 2009-01-21 2010-08-12 SwimSense, LLC Multi-state performance monitoring system
US8560267B2 (en) * 2009-09-15 2013-10-15 Imetrikus, Inc. Identifying one or more activities of an animate or inanimate object
WO2012012550A2 (en) * 2010-07-20 2012-01-26 The University Of Memphis Research Foundation Theft detection nodes and servers, methods of estimating an angle of a turn, methods of estimating a distance traveled between successive stops, and methods and servers for determining a path traveled by a node
US8756173B2 (en) * 2011-01-19 2014-06-17 Qualcomm Incorporated Machine learning of known or unknown motion states with sensor fusion
US9407706B2 (en) * 2011-03-31 2016-08-02 Qualcomm Incorporated Methods, devices, and apparatuses for activity classification using temporal scaling of time-referenced features

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030208335A1 (en) * 1996-07-03 2003-11-06 Hitachi, Ltd. Method, apparatus and system for recognizing actions
US7056297B2 (en) * 2001-12-28 2006-06-06 Matsushita Electric Works, Ltd. Wearable human motion applicator
US20100152600A1 (en) * 2008-04-03 2010-06-17 Kai Sensors, Inc. Non-contact physiologic motion sensors and methods for use
US20130029681A1 (en) * 2011-03-31 2013-01-31 Qualcomm Incorporated Devices, methods, and apparatuses for inferring a position of a mobile device
US20120303312A1 (en) * 2011-05-25 2012-11-29 University Of Central Florida Research Foundation, Inc. Systems And Methods For Detecting Small Pattern Changes In Sensed Data

Also Published As

Publication number Publication date
CA2907411A1 (en) 2014-09-18
WO2014146011A2 (en) 2014-09-18
WO2014145122A3 (en) 2014-11-13
US20140278208A1 (en) 2014-09-18
RU2015144123A (en) 2017-04-24
WO2014145122A2 (en) 2014-09-18
EP2967446A2 (en) 2016-01-20
AU2014232247A1 (en) 2015-11-05

Similar Documents

Publication Publication Date Title
WO2014146011A3 (en) Determining activities from sensed motion signals
WO2014145112A3 (en) Methods and architecture for determining activity and activity types from sensed motion signals
WO2014145994A3 (en) Intermediate motion signal extraction to determine activity
WO2014145985A3 (en) Inline calibration of motion sensor
WO2014165312A3 (en) Ear-related devices implementing sensors to acquire physiological characteristics
MX2022009430A (en) Electronic aerosol provision systems and methods.
WO2014052986A3 (en) Determining physiological state(s) of an organism based on data sensed with sensors in motion
MY193558A (en) Method for integrating and providing collected data from multiple devices and electronic device for implementing same
WO2015013183A3 (en) Cough detection, analysis, and communication platform
WO2017091730A3 (en) Automated health data acquisition, processing and communication system and method
WO2015184023A3 (en) Adaptive lifestyle metric estimation
WO2014092996A3 (en) Location determination using fingerprint data
WO2015193177A3 (en) User-wearable device and system for personal computing
WO2016178088A3 (en) Systems and methods for detecting and reacting to malicious activity in computer networks
WO2014074953A3 (en) Multimodal physiological sensing for wearable devices or mobile devices
WO2014085615A3 (en) Combining monitoring sensor measurements and system signals to determine device context
WO2015127059A3 (en) Smart wearable devices and methods with attention level and workload sensing
WO2013034987A3 (en) Sensor device and system for fitness equipment
GB201209585D0 (en) Providing location and spatial data about the physical environment
EP3915465A3 (en) Use of sensor redundancy to detect sensor failures
WO2014004570A3 (en) Far-field sensing for rotation of fingerprint
TR201910637T4 (en) Device and method for monitoring vital signs.
MX2018014786A (en) System and method for electrical circuit monitoring.
PH12016501712A1 (en) Disaster response system, disaster response method, disaster sensing device, and processing method therefor
GB201211994D0 (en) Method of estimating position of user device

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 14763907

Country of ref document: EP

Kind code of ref document: A2

ENP Entry into the national phase

Ref document number: 2907411

Country of ref document: CA

REEP Request for entry into the european phase

Ref document number: 2014763907

Country of ref document: EP

WWE Wipo information: entry into national phase

Ref document number: 2014763907

Country of ref document: EP

ENP Entry into the national phase

Ref document number: 2015144123

Country of ref document: RU

Kind code of ref document: A

ENP Entry into the national phase

Ref document number: 2014232247

Country of ref document: AU

Date of ref document: 20140317

Kind code of ref document: A

121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 14763907

Country of ref document: EP

Kind code of ref document: A2