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

Savoie et al., 2019 - Google Patents

Automation of the timed-up-and-go test using a conventional video camera

Savoie et al., 2019

View PDF
Document ID
4684938182136855689
Author
Savoie P
Cameron J
Kaye M
Scheme E
Publication year
Publication venue
IEEE journal of biomedical and health informatics

External Links

Snippet

The Timed-Up-and-Go (TUG) test is a simple clinical tool commonly used to quickly assess the mobility of patients. Researchers have endeavored to automate the test using sensors or motion tracking systems to improve its accuracy and to extract more resolved information …
Continue reading at unbscholar.lib.unb.ca (PDF) (other versions)

Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording 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
    • A61B5/1121—Determining geometric values, e.g. centre of rotation or angular range of movement
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34—Computer-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
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording 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
    • A61B5/1116—Determining posture transitions
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording 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
    • A61B5/1126—Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb using a particular sensing technique
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/20—Analysis of motion
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
    • G06K9/00268—Feature extraction; Face representation
    • G06K9/00281—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • G06T7/0014—Biomedical image inspection using an image reference approach
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00335—Recognising movements or behaviour, e.g. recognition of gestures, dynamic facial expressions; Lip-reading
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • G06F3/00—Input 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
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality

Similar Documents

Publication Publication Date Title
Savoie et al. Automation of the timed-up-and-go test using a conventional video camera
Wang et al. Toward a passive low-cost in-home gait assessment system for older adults
Hickey et al. Detecting free-living steps and walking bouts: validating an algorithm for macro gait analysis
US20210049353A1 (en) Ai-based physical function assessment system
Wang et al. Screening early children with autism spectrum disorder via response-to-name protocol
Dentamaro et al. Gait analysis for early neurodegenerative diseases classification through the kinematic theory of rapid human movements
US11759126B2 (en) Scoring metric for physical activity performance and tracking
Parra-Dominguez et al. 3D human motion analysis to detect abnormal events on stairs
Viswakumar et al. Development of a robust, simple, and affordable human gait analysis system using bottom-up pose estimation with a smartphone camera
Vallabhaneni et al. The analysis of the impact of yoga on healthcare and conventional strategies for human pose recognition
de Souza Baptista et al. Automatic human movement assessment with switching linear dynamic system: Motion segmentation and motor performance
Lee et al. Analysis of gait sub-movements to estimate ataxia severity using ankle inertial data
Romeo et al. Video based mobility monitoring of elderly people using deep learning models
Guo et al. Obtaining lower-body Euler angle time series in an accurate way using depth camera relying on Optimized Kinect CNN
Szankin et al. Long distance vital signs monitoring with person identification for smart home solutions
Hesse et al. Concurrent validity of a custom method for markerless 3D full-body motion tracking of children and young adults based on a single RGB-D camera
Cimorelli et al. Portable in-clinic video-based gait analysis: validation study on prosthetic users
Hoang et al. Towards a comprehensive solution for a vision-based digitized neurological examination
Gionfrida et al. Validation of two-dimensional video-based inference of finger kinematics with pose estimation
Banerjee et al. Sit-to-stand measurement for in-home monitoring using voxel analysis
Li et al. GaitFormer: Leveraging dual-stream spatial–temporal Vision Transformer via a single low-cost RGB camera for clinical gait analysis
Wang et al. A webcam-based machine learning approach for three-dimensional range of motion evaluation
Sethi et al. Multi‐feature gait analysis approach using deep learning in constraint‐free environment
Hu et al. Effective evaluation of HGcnMLP method for markerless 3D pose estimation of musculoskeletal diseases patients based on smartphone monocular video
US20230137198A1 (en) Approximating motion capture of plural body portions using a single imu device