Challenges of Tracking Motor Disorders Using Smartphone-based Computer Vision

This paper describes the challenges of deploying neural network models on mobile devices for real-time body keypoint detection in medical and rehabilitation applications. Performance tests of these models were conducted, and the results were compared across different devices.

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Publication Details

Published
2024-10-07
DOI
https://doi.org/10.1109/khpiweek61434.2024.10878082
Citations
1
Primary Topic
Cerebral Palsy and Movement Disorders
Type
article
Field-Weighted Citation Impact
0.39
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article

Challenges of Tracking Motor Disorders Using Smartphone-based Computer Vision

Karina Selivanova, Marko Andrushchenko
1 citations
Cerebral Palsy and Movement Disorders
0.39
article

Challenges of Tracking Motor Disorders Using Smartphone-based Computer Vision

Karina Selivanova, Marko Andrushchenko
article en
1 citations

Abstract

This paper describes the challenges of deploying neural network models on mobile devices for real-time body keypoint detection in medical and rehabilitation applications. Performance tests of these models were conducted, and the results were compared across different devices.

Kharkiv National University of Radio Electronics (UA)
Openalex Percentile: Top 32%
Cerebral Palsy and Movement Disorders
0.39
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Challenges of Tracking Motor Disorders Using Smartphone-based Computer Vision — Karina Selivanova, Marko Andrushchenko · (2024) | TGRS Research Map | TGRS