Automatic Recognition of Repetitive Hand Movements

Fiona Marshall; Bryan Scotney; Shuai Zhang

Automatic Recognition of Repetitive Hand Movements

Fiona Marshall
, Bryan Scotney
, Shuai Zhang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Repetitive movements are associated with several neurological disorders including autism, dementia and Parkinson’s disease. The automatic recognition of these movements can provide information that enables carers and clinicians to better monitor these conditions. Whilst a variety of approaches has been used to detect and measure repetitive body movements, the automatic recognition of repetitive hand movements has seen less attention. We introduce a novel video-based dataset of repetitive hand movements and propose a simple but effective method of recognition based on a small number of discriminative poses.

Original language	English
Title of host publication	IMVIP 2020 Irish Machine Vision and Image Processing Conference
Place of Publication	Sligo
Publisher	Irish Pattern Recognition and Classification Society
Pages	137
Number of pages	140
ISBN (Electronic)	978-0-9934207-5-7
Publication status	Published (in print/issue) - 31 Aug 2020
Event	Irish Machine Vision and Image Processing Conference 2020 - Sligo, Ireland Duration: 31 Aug 2020 → 2 Sept 2020 https://imvipconference.github.io/#proceedings

Conference

Conference	Irish Machine Vision and Image Processing Conference 2020
Country/Territory	Ireland
City	Sligo
Period	31/08/20 → 2/09/20
Internet address	https://imvipconference.github.io/#proceedings

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Repetitive Hand Movements
Repetitive Behaviours
Activity Recognition
Skeletal Joints
Agitation

Cite this

@inproceedings{2b814c5fedbd496abda1c7025f5fb08b,

title = "Automatic Recognition of Repetitive Hand Movements",

abstract = "Repetitive movements are associated with several neurological disorders including autism, dementia and Parkinson{\textquoteright}s disease. The automatic recognition of these movements can provide information that enables carers and clinicians to better monitor these conditions. Whilst a variety of approaches has been used to detect and measure repetitive body movements, the automatic recognition of repetitive hand movements has seen less attention. We introduce a novel video-based dataset of repetitive hand movements and propose a simple but effective method of recognition based on a small number of discriminative poses.",

keywords = "Repetitive Hand Movements, Repetitive Behaviours, Activity Recognition, Skeletal Joints, Agitation",

author = "Fiona Marshall and Bryan Scotney and Shuai Zhang",

year = "2020",

month = aug,

day = "31",

language = "English",

pages = "137",

booktitle = "IMVIP 2020 Irish Machine Vision and Image Processing Conference",

publisher = "Irish Pattern Recognition and Classification Society",

address = "Ireland",

note = "Irish Machine Vision and Image Processing Conference 2020 ; Conference date: 31-08-2020 Through 02-09-2020",

url = "https://imvipconference.github.io/\#proceedings",

}

TY - GEN

T1 - Automatic Recognition of Repetitive Hand Movements

AU - Marshall, Fiona

AU - Scotney, Bryan

AU - Zhang, Shuai

PY - 2020/8/31

Y1 - 2020/8/31

N2 - Repetitive movements are associated with several neurological disorders including autism, dementia and Parkinson’s disease. The automatic recognition of these movements can provide information that enables carers and clinicians to better monitor these conditions. Whilst a variety of approaches has been used to detect and measure repetitive body movements, the automatic recognition of repetitive hand movements has seen less attention. We introduce a novel video-based dataset of repetitive hand movements and propose a simple but effective method of recognition based on a small number of discriminative poses.

AB - Repetitive movements are associated with several neurological disorders including autism, dementia and Parkinson’s disease. The automatic recognition of these movements can provide information that enables carers and clinicians to better monitor these conditions. Whilst a variety of approaches has been used to detect and measure repetitive body movements, the automatic recognition of repetitive hand movements has seen less attention. We introduce a novel video-based dataset of repetitive hand movements and propose a simple but effective method of recognition based on a small number of discriminative poses.

KW - Repetitive Hand Movements

KW - Repetitive Behaviours

KW - Activity Recognition

KW - Skeletal Joints

KW - Agitation

UR - https://drive.google.com/file/d/1IkSjw5D5Tc8FIpMwo6yVdo_X6QN8BwM8/view

M3 - Conference contribution

SP - 137

BT - IMVIP 2020 Irish Machine Vision and Image Processing Conference

PB - Irish Pattern Recognition and Classification Society

CY - Sligo

T2 - Irish Machine Vision and Image Processing Conference 2020

Y2 - 31 August 2020 through 2 September 2020

ER -

Automatic Recognition of Repetitive Hand Movements

Abstract

Conference

UN SDGs

Keywords

Other files and links

Fingerprint

Video-based automatic detection of agitated behaviours

Cite this

Automatic Recognition of Repetitive Hand Movements

Abstract

Conference

UN SDGs

Keywords

Other files and links

Fingerprint

Student theses

Video-based automatic detection of agitated behaviours

Cite this