Published December 8, 2025
| Version v1
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Dataset for slowness assessment during interactions with the RehaBEElitation serious game
Authors/Creators
Description
This dataset compiles the data used to assess slowness in participants with and without Parkinson’s disease. It includes information such as age, sex, relevant clinical data, as well as the variables estimated during interaction with the serious game (response time and angular velocity). These metrics were employed to objectively quantify movement slowness during the in-game tasks. The dataset serves as an analytical basis for examining motor performance and supporting the development of strategies for monitoring disease progression.
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Related works
- Has part
- Publication: 10.7717/peerj-cs.1267 (DOI)
Dates
- Collected
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2025Dataset
References
- Cardoso Mendes L, Abreu Rosa de Sá A, Alves Marques I, Morère Y, de Oliveira Andrade A. 2023. RehaBEElitation: the architecture and organization of a serious game to evaluate motor signs in Parkinson's disease. PeerJ Computer Science 9:e1267 https://doi.org/10.7717/peerj-cs.1267