Real-time automated detection of older adults' hand gestures in home and clinical settings.

ABSTRACT: There is an urgent need, accelerated by the COVID-19 pandemic, for methods that allow clinicians and neuroscientists to remotely evaluate hand movements. This would help detect and monitor degenerative brain disorders that are particularly prevalent in older adults. With the wide accessibility of computer cameras, a vision-based real-time hand gesture detection method would facilitate online assessments in home and clinical settings. However, motion blur is one of the most challenging problems in the fast-moving hands data collection. The objective of this study was to develop a computer vision-based method that accurately detects older adults' hand gestures using video data collected in real-life settings. We invited adults over 50 years old to complete validated hand movement tests (fast

SUBMITTER: Huang G 

PROVIDER: S-EPMC9741488 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature