A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf
.
Towards Explainable, Privacy-Preserved Human-Motion Affect Recognition
[article]
2021
arXiv
pre-print
Human motion characteristics are used to monitor the progression of neurological diseases and mood disorders. Since perceptions of emotions are also interleaved with body posture and movements, emotion recognition from human gait can be used to quantitatively monitor mood changes. Many existing solutions often use shallow machine learning models with raw positional data or manually extracted features to achieve this. However, gait is composed of many highly expressive characteristics that can
arXiv:2105.03958v2
fatcat:er4dcdi3hrfzdb66qwz73yjhbu