Movement Detection in Interactive Cognitive Based Physiotherapy Environment using AI

سال انتشار: 1402
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 14

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شناسه ملی سند علمی:

SMARTCITYC03_151

تاریخ نمایه سازی: 5 اردیبهشت 1403

چکیده مقاله:

This article examines the role of artificial intelligence technology and cognitive science in enhancing the accuracy and efficiency of physiotherapy. A cognitive science approach combined with artificial intelligence is utilized to identify and record movements of individuals with disabilities and to improve the interactive environment. By improving the system's accuracy to ۹۹% in identifying simple movements and ۹۲% in complex movements, significant improvements have been made in the physiotherapy process. The precise coordination between camera and video projector modules enables the enhancement of a multidimensional movement experience and provides physiotherapists with accurate and up-to-date information regarding the movements of individuals with disabilities. The paper concludes with suggestions for further improvements in motion detection technology and educational insights for physiotherapists.

نویسندگان

Soheila Deldari

Cognitive Physiotherapy Startup Team/ Shiraz, Iran

Farideh Aliniaziazi

Cognitive Physiotherapy Startup Team/ Shiraz, Iran