HCDec 9, 2021

Web Platform for Visualisation of Kinematic Data captured from a Motor Tele-rehabilitation System

arXiv:2112.05118v1
Originality Synthesis-oriented
AI Analysis

This work addresses the need for accessible telerehabilitation tools for elderly stroke patients, though it appears incremental as it builds on existing motion capture and serious game technologies.

The paper tackles the problem of tracking stroke rehabilitation progress by developing a web platform that visualizes kinematic data from a motion sensor during music-based exercises, enabling healthcare professionals to monitor patients remotely.

Stroke can have a severe impact on an individual's quality of life, leading to consequences such as motor loss and communication problems, especially among the elderly. Studies have shown that early and easy access to stroke rehabilitation can improve an elderly individual's quality of life, and that telerehabilitation is a solution that facilitates this improvement. In this work, we visualize movement to music during rehabilitation exercises captured by the Kinect motion sensor, using a dedicated Serious Game called `Move to the Music'(MoMu). Our system provides a quantitative view of progress made by patients during a motor rehabilitation regime for healthcare professionals to track remotely (tele-rehab).

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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