Abstract
Quantitative and reliable data are required in the patient rehabilitation process to conduct evaluation and set treatment goals. Different data sensors have been used by researchers in the hand motion analysis with limitations in detail and accuracy. This paper introduces our research in development of a virtual environment for hand motion analysis to evaluate patient’s hand movements. Using uncontacted motion sensors in the developed virtual environment, data for the hand rehabilitation can be accurately obtained. Unity 3D and Leap Motion sensor are used as tools for real-time data capturing of hand movements, which provides graphical information for hand fingers’ positions, angles, grab strength, and gesture types. The designed tool is adaptable to different rehabilitations and user needs.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.