WO2014145122A3 - Identification of motion characteristics to determine activity - Google Patents

Identification of motion characteristics to determine activity Download PDF

Info

Publication number
WO2014145122A3
WO2014145122A3 PCT/US2014/029820 US2014029820W WO2014145122A3 WO 2014145122 A3 WO2014145122 A3 WO 2014145122A3 US 2014029820 W US2014029820 W US 2014029820W WO 2014145122 A3 WO2014145122 A3 WO 2014145122A3
Authority
WO
WIPO (PCT)
Prior art keywords
motion
activity
signals
sensor signal
motion sensor
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.)
Ceased
Application number
PCT/US2014/029820
Other languages
French (fr)
Other versions
WO2014145122A2 (en
Inventor
Thomas Alan Donaldson
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
AliphCom LLC
Original Assignee
AliphCom LLC
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 LLC filed Critical AliphCom LLC
Priority to AU2014233330A priority Critical patent/AU2014233330A1/en
Priority to CA2907077A priority patent/CA2907077A1/en
Priority to EP14764433.0A priority patent/EP2972416A2/en
Priority to RU2015144128A priority patent/RU2015144128A/en
Publication of WO2014145122A2 publication Critical patent/WO2014145122A2/en
Publication of WO2014145122A3 publication Critical patent/WO2014145122A3/en
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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—Measuring 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 or 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)
  • Animal Behavior & Ethology (AREA)
  • Public Health (AREA)
  • Pathology (AREA)
  • Physiology (AREA)
  • Biomedical Technology (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Medical Informatics (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Artificial Intelligence (AREA)
  • General Health & Medical Sciences (AREA)
  • Biophysics (AREA)
  • Veterinary Medicine (AREA)
  • Dentistry (AREA)
  • Evolutionary Computation (AREA)
  • Fuzzy Systems (AREA)
  • Mathematical Physics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Psychiatry (AREA)
  • Signal Processing (AREA)
  • Oral & Maxillofacial Surgery (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 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 some embodiments, a method can include receiving data representing a motion sensor signal from a motion sensor disposed in a wearable device, and generating intermediate motion signals from the motion sensor signal. The method also can include identifying characteristics of motion based on the intermediate motion signals to form motion characteristics data, and determining an activity based the motion characteristics data.
PCT/US2014/029820 2013-03-15 2014-03-14 Identification of motion characteristics to determine activity Ceased WO2014145122A2 (en)

Priority Applications (4)

Application Number Priority Date Filing Date Title
AU2014233330A AU2014233330A1 (en) 2013-03-15 2014-03-14 Identification of motion characteristics to determine activity
CA2907077A CA2907077A1 (en) 2013-03-15 2014-03-14 Identification of motion characteristics to determine activity
EP14764433.0A EP2972416A2 (en) 2013-03-15 2014-03-14 Identification of motion characteristics to determine activity
RU2015144128A RU2015144128A (en) 2013-03-15 2014-03-14 RECOGNITION OF MOTION CHARACTERISTICS FOR DETERMINATION OF ACTION

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
US201361802171P 2013-03-15 2013-03-15
US201361801775P 2013-03-15 2013-03-15
US201361802303P 2013-03-15 2013-03-15
US61/802,303 2013-03-15
US17/207,263 2014-03-12

Publications (2)

Publication Number Publication Date
WO2014145122A2 WO2014145122A2 (en) 2014-09-18
WO2014145122A3 true WO2014145122A3 (en) 2014-11-13

Family

ID=51531692

Family Applications (2)

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

Family Applications After (1)

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

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 (18)

* 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
US20170354352A1 (en) * 2014-12-18 2017-12-14 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
EP3958963A4 (en) * 2019-04-25 2023-01-11 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
CN113873382A (en) * 2021-09-23 2021-12-31 Tcl通力电子（惠州）有限公司 Headphone control method, headphone, and computer-readable storage medium
US20240402212A1 (en) * 2023-05-30 2024-12-05 Qualcomm Incorporated Shock severity estimation solution for use in asset tracking

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090069724A1 (en) * 2007-08-15 2009-03-12 Otto Chris A Wearable Health Monitoring Device and Methods for Step Detection
US7942824B1 (en) * 2005-11-04 2011-05-17 Cleveland Medical Devices Inc. Integrated sleep diagnostic and therapeutic system and method
US20120265716A1 (en) * 2011-01-19 2012-10-18 Qualcomm Incorporated Machine learning of known or unknown motion states with sensor fusion
US20130035893A1 (en) * 2011-03-31 2013-02-07 Qualcomm Incorporated Methods, devices, and apparatuses for activity classification using temporal scaling of time-referenced features

Family Cites Families (11)

* 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
DE69736622T2 (en) * 1996-07-03 2007-09-13 Hitachi, Ltd. Motion detection system
SG103371A1 (en) * 2001-12-28 2004-04-29 Matsushita Electric Works Ltd Wearable human motion applicator
US8949070B1 (en) * 2007-02-08 2015-02-03 Dp Technologies, Inc. Human activity monitoring device with activity identification
WO2009111427A2 (en) * 2008-03-04 2009-09-11 The Regents Of The University Of California Apparatus and method for implementing a mobility aid device
US20100152600A1 (en) * 2008-04-03 2010-06-17 Kai Sensors, Inc. Non-contact physiologic motion sensors and methods for use
US20100210975A1 (en) * 2009-01-21 2010-08-19 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
US20130029681A1 (en) * 2011-03-31 2013-01-31 Qualcomm Incorporated Devices, methods, and apparatuses for inferring a position of a mobile device
US9234769B2 (en) * 2011-05-25 2016-01-12 University Of Central Florida Research Foundation, Inc. Systems and methods for detecting small pattern changes in sensed data

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7942824B1 (en) * 2005-11-04 2011-05-17 Cleveland Medical Devices Inc. Integrated sleep diagnostic and therapeutic system and method
US20090069724A1 (en) * 2007-08-15 2009-03-12 Otto Chris A Wearable Health Monitoring Device and Methods for Step Detection
US20120265716A1 (en) * 2011-01-19 2012-10-18 Qualcomm Incorporated Machine learning of known or unknown motion states with sensor fusion
US20130035893A1 (en) * 2011-03-31 2013-02-07 Qualcomm Incorporated Methods, devices, and apparatuses for activity classification using temporal scaling of time-referenced features

Also Published As

Publication number Publication date
CA2907411A1 (en) 2014-09-18
RU2015144123A (en) 2017-04-24
WO2014146011A2 (en) 2014-09-18
WO2014146011A3 (en) 2014-11-06
EP2967446A2 (en) 2016-01-20
AU2014232247A1 (en) 2015-11-05
US20140278208A1 (en) 2014-09-18
WO2014145122A2 (en) 2014-09-18

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
AU2019268192A1 (en) Electronic aerosol provision systems and methods
WO2014092996A3 (en) Location determination using fingerprint data
WO2014165312A3 (en) Ear-related devices implementing sensors to acquire physiological characteristics
WO2015127059A3 (en) Smart wearable devices and methods with attention level and workload sensing
WO2014052986A3 (en) Determining physiological state(s) of an organism based on data sensed with sensors in motion
MX2015002063A (en) Cloud-based wireless communication system and method.
WO2015013183A3 (en) Cough detection, analysis, and communication platform
WO2014074953A3 (en) Multimodal physiological sensing for wearable devices or mobile devices
GB201204006D0 (en) Point of interest database maintenance system
WO2014018590A3 (en) Method and system for collecting and providing application usage analytics
WO2014140814A3 (en) Proof of presence via tag interactions
PH12016501712A1 (en) Disaster response system, disaster response method, disaster sensing device, and processing method therefor
HK1219403A1 (en) Multiple sensors for monitoring health and wellness of an animal
GB2524437A (en) Systems and methods for telematics control and communications
GB201209585D0 (en) Providing location and spatial data about the physical environment
WO2014120646A3 (en) Method, device and system for publishing merchandise information
WO2010067981A3 (en) System and method for interfacing medical device information
WO2012162278A3 (en) Social data recording
GB2523208A (en) Context sensing for computing devices
EP3094050A3 (en) Wearable electronic apparatus
EP4618517A3 (en) System, a method and a storage medium for a unified connected network

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: 14764433

Country of ref document: EP

Kind code of ref document: A2

ENP Entry into the national phase

Ref document number: 2907077

Country of ref document: CA

REEP Request for entry into the european phase

Ref document number: 2014764433

Country of ref document: EP

WWE Wipo information: entry into national phase

Ref document number: 2014764433

Country of ref document: EP

ENP Entry into the national phase

Ref document number: 2015144128

Country of ref document: RU

Kind code of ref document: A

ENP Entry into the national phase

Ref document number: 2014233330

Country of ref document: AU

Date of ref document: 20140314

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: 14764433

Country of ref document: EP

Kind code of ref document: A2