Nothing Special   »   [go: up one dir, main page]

Jin, 2019 - Google Patents

A review of AI Technologies for Wearable Devices

Jin, 2019

View PDF
Document ID
5348662358214381727
Author
Jin C
Publication year
Publication venue
IOP Conference Series: Materials Science and Engineering

External Links

Snippet

With the popularity of wearable devices, we can collect various data to support a series of innovative applications. The complex and massive data requires stronger data processing technologies. In recent years, artificial intelligence technology has been used to process this …
Continue reading at iopscience.iop.org (PDF) (other versions)

Classifications

    • 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
    • G06F19/345Medical expert systems, neural networks or other automated diagnosis
    • 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
    • A61B5/1116Determining posture transitions
    • 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
    • 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
    • A61B5/681Wristwatch-type devices
    • 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
    • A61B5/6804Garments; Clothes
    • A61B5/6806Gloves
    • 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
    • A61B5/103Detecting, 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
    • A61B5/1118Determining activity level
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • 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

Similar Documents

Publication Publication Date Title
Jin A review of AI Technologies for Wearable Devices
Qi et al. An overview of data fusion techniques for Internet of Things enabled physical activity recognition and measure
Vijayan et al. Review of wearable devices and data collection considerations for connected health
Özdemir An analysis on sensor locations of the human body for wearable fall detection devices: Principles and practice
Liang et al. Energy-efficient motion related activity recognition on mobile devices for pervasive healthcare
Gao et al. Evaluation of accelerometer based multi-sensor versus single-sensor activity recognition systems
Arif et al. Better physical activity classification using smartphone acceleration sensor
Buke et al. Healthcare algorithms by wearable inertial sensors: a survey
Erdogan et al. A data mining approach for fall detection by using k-nearest neighbour algorithm on wireless sensor network data
Kang et al. Real-time elderly activity monitoring system based on a tri-axial accelerometer
Qi et al. Ellipse fitting model for improving the effectiveness of life‐logging physical activity measures in an Internet of Things environment
Pan et al. Intelligent shoulder joint home-based self-rehabilitation monitoring system
Liu et al. A benchmark database and baseline evaluation for fall detection based on wearable sensors for the Internet of medical things platform
Fan et al. Wearable motion attitude detection and data analysis based on Internet of Things
Deb et al. Gait identification using a new time-warped similarity metric based on smartphone inertial signals
Padmaja et al. A novel random split point procedure using extremely randomized (Extra) trees ensemble method for human activity recognition
US20230329587A1 (en) System And Method For Assessing Neuro Muscular Disorder By Generating Biomarkers From The Analysis Of Gait
Memiş et al. Detection of basic human physical activities with indoor–outdoor information using sigma-based features and deep learning
Meng et al. A review of accelerometer-based physical activity measurement
Xingjun Application of Motion Sensor Fusion in Special Competitive Sports
Peng et al. Experimental analysis of artificial neural networks performance for accessing physical activity recognition in daily life
Geng et al. Segmentation and recognition model for complex action sequences
Liu et al. Video-based monitoring and analytics of human gait for Companion Robot
Pereira et al. A movement activity recognition pervasive system for patient monitoring in ambient assisted living
Okkalidis et al. A review of foot pose and trajectory estimation methods using inertial and auxiliary sensors for kinematic gait analysis