RehabPal: Automated Physical Therapy Assistance

Title

RehabPal: Automated Physical Therapy Assistance

Creator

Arya, P.; Sharma, Treya; Jatain, Aman; Bhaskar, Shalini Bajaj; Manju; Kumar, Sandeep

Description

This innovative research project transforms automated physical therapy support by combining 2D and 3D pose assessment approaches with tailored feedback systems. Utilizing Mediapipe technology, the apparatus attentively observes patients movements in a two-dimensional space and gives realtime data regarding their gait, exercise compliance, and range of motion. Accurate data on joint angles and body segment alignment are provided by the system's sophisticated 3D posture estimation algorithms, which enhance tracking precision. The system incorporates customized feedback systems that include individual patients goals, progress, and conditions and delivery and reward schemes. By increasing user engagement and adherence, the integration of gamification elements has the potential to revolutionize automated physical therapy support. This comprehensive approach aims to enhance patients quality of life while simultaneously enhancing long-term rehabilitation outcomes by providing more conveniently accessible, affordably priced, and specially designed therapies. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

Source

Lecture Notes in Networks and Systems;Volume;1144;pp.515-526

Date

01-01-2025

Publisher

Springer Science and Business Media Deutschland GmbH

Subject

Angle calculation; Ediapipe; Keypoint detection; Personalized feedback; Pose detection; Pose estimation

Coverage

Arya P., Department of Computer Science & Technology, Amity University, Gurgaon, India; Sharma T., Department of Computer Science & Technology, Amity University, Gurgaon, India; Jatain A., School of Engineering & Technology, K R Mangalam University, Gurgaon, India; Bhaskar S.B., Department of Computer Science & Technology, Amity University, Gurgaon, India; Manju, Department of Computer Science & Engineering and Technology, Jaypee Institute of Information Technology, Noida, India; Kumar S., CHRIST University, Bengaluru, India

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISSN: 23673370; ISBN: 978-981977838-6;

Format

online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1007/978-981-97-7839-3_37

https://www.scopus.com/pages/publications/85218448452?origin=resultslist