[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Lai et al., 2010 - Google Patents

Adaptive body posture analysis for elderly-falling detection with multisensors

Lai et al., 2010

Document ID
51107500559053754
Author
Lai C
Huang Y
Park J
Chao H
Publication year
Publication venue
IEEE Intelligent Systems

External Links

Snippet

Adaptive Body Posture Analysis for Elderly-Falling Detection with Multisensors Toggle navigation IEEE Computer Society Digital Library Jobs Tech News Resource Center Press Room Advertising About Us IEEE IEEE Computer Society IEEE Computer Society Digital Library …
Continue reading at www.computer.org (other versions)

Classifications

    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1116Determining posture transitions
    • A61B5/1117Fall detection
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1112Global tracking of patients, e.g. by using GPS
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/103Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
    • A61B5/11Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb
    • A61B5/1121Determining geometric values, e.g. centre of rotation or angular range of movement
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/68Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6802Sensor mounted on worn items
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/011Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B2562/00Details of sensors; Constructional details of sensor housings or probes; Accessories for sensors
    • A61B2562/02Details of sensors specially adapted for in-vivo measurements
    • A61B2562/0219Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/68Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient
    • A61B5/6801Arrangements of detecting, measuring or recording means, e.g. sensors, in relation to patient specially adapted to be attached to or worn on the body surface
    • A61B5/6813Specially adapted to be attached to a specific body part
    • AHUMAN NECESSITIES
    • A61MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61BDIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/04Detecting, measuring or recording bioelectric signals of the body of parts thereof
    • A61B5/0402Electrocardiography, i.e. ECG

Similar Documents

Publication Publication Date Title
Lai et al. Adaptive body posture analysis for elderly-falling detection with multisensors
Kwapisz et al. Activity recognition using cell phone accelerometers
Abbate et al. Recognition of false alarms in fall detection systems
Mekruksavanich et al. Exercise activity recognition with surface electromyography sensor using machine learning approach
Jian et al. A portable fall detection and alerting system based on k-NN algorithm and remote medicine
Rescio et al. Supervised Expert System for Wearable MEMS Accelerometer‐Based Fall Detector
Yeoh et al. Ambulatory monitoring of human posture and walking speed using wearable accelerometer sensors
Shi et al. Fall Detection Algorithm Based on Triaxial Accelerometer and Magnetometer.
Borujeny et al. Detection of epileptic seizure using wireless sensor networks
Hsieh et al. A wrist-worn fall detection system using accelerometers and gyroscopes
Fahmi et al. Semi-supervised fall detection algorithm using fall indicators in smartphone
Islam et al. Automatic fall detection system of unsupervised elderly people using smartphone
Li et al. Grammar-based, posture-and context-cognitive detection for falls with different activity levels
Ghahramani et al. Body postural sway analysis in older people with different fall histories
Zhang et al. Gait pattern recognition based on plantar pressure signals and acceleration signals
Lai et al. Adaptive body posture analysis using collaborative multi-sensors for elderly falling detection
Wu et al. A multi-sensor fall detection system based on multivariate statistical process analysis
Adaskevicius Method for recognition of the physical activity of human being using a wearable accelerometer
Alrazzak et al. A survey on human activity recognition using accelerometer sensor
Ren et al. Chameleon: personalised and adaptive fall detection of elderly people in home-based environments
Bianchi et al. MuSA: A multisensor wearable device for AAL
Yang et al. Development of a wearable motion detector for telemonitoring and real-time identification of physical activity
Kambhampati et al. Unified framework for triaxial accelerometer‐based fall event detection and classification using cumulants and hierarchical decision tree classifier
Xie et al. ART: adaptive and real-time fall detection using COTS smart watch
Yongli et al. State of the art: a study on fall detection