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How can we adopt #AI tools to study human #movement, #sports, and #biomechanics? Some past studies in #motorcontrol and #learning have employed AI:
1) Seifert et al. 2013 use #clustering method to study climbing.
https://pubmed.ncbi.nlm.nih.gov/24055363/
2) Morais et al. 2015, uses clustering method to assess learning in swimmers
https://pubmed.ncbi.nlm.nih.gov/25117421/
3) Sidarta et al. 2022, this uses #clustering to probe how task difficulty affects #exploration/exploitation in a lab-based experiment.
https://pubmed.ncbi.nlm.nih.gov/34936514/
4) Morais et al 2021 on longitudinal cluster analysis.
https://pubmed.ncbi.nlm.nih.gov/32142396/
@lili I know right!! I guess movement science field also needs a way to objectively quantify performance.
@amanda_yin This is cool! Somehow whenever I think of using AI for studying movement, I always think of markerless pose estimation. I hadn't thought of applying clustering techniques to the pose data to differentiate types of swimmers or climbers!