Conference Paper2023

An Integrated System for Stroke Rehabilitation Exercise Assessment using KINECT v2 and Machine Learning

M. Islam, M. Sultana, E. Ahmed, A. Islam, A. K. M. M. Rahman, A. A. Ali, M. A. Amin

15th International Conference on Intelligent Human-Computer Interaction (IHCI 2023)

Springer Nature Switzerland, pp. 207-213, ISBN: 9783031538261

  • Good Health and Well-being — Relevance: 91%
DOI: 10.1007/978-3-031-53827-8_20URL

Keywords

  • stroke rehabilitation
  • home-based rehabilitation
  • Kinect v2
  • 3D motion capture
  • exercise evaluation
  • patient engagement
  • pose correction

References

  1. 1.Ziyu Liu, Hongwen Zhang, Zhenghao Chen, Zhiyong Wang, Wanli Ouyang. (2020). Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition. , 140–149[10.1109/cvpr42600.2020.00022]
  2. 2.Marianna Capecci, Maria Gabriella Ceravolo, Francesco Ferracuti, Sabrina Iarlori, Andrea Monteriù, Luca Romeo, Federica Verdini. (2019). The KIMORE Dataset: KInematic Assessment of MOvement and Clinical Scores for Remote Monitoring of Physical REhabilitation. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 27(7), 1436–1448[10.1109/tnsre.2019.2923060]
  3. 3.Zahra-Sadat Hosseini, Hamid Peyrovi, Mahmoodreza Gohari. (2019). The Effect of Early Passive Range of Motion Exercise on Motor Function of People with Stroke: a Randomized Controlled Trial. Journal of Caring Sciences, 8(1), 39–44[10.15171/jcs.2019.006]
  4. 4.Adyasha Dash, Anand Yadav, Anand Chauhan, Uttama Lahiri. (2019). Kinect-Assisted Performance-Sensitive Upper Limb Exercise Platform for Post-stroke Survivors. Frontiers in Neuroscience, 13, 228[10.3389/fnins.2019.00228]
  5. 5.Christine Megard, Sylvain Bouchigny, Antoine Martin, Rafik Goulamhoussen, Lucile Bertholier, Pierre Foulon, Samuel Pouplin, Celine Bonnyaud, Nicolas Roche, Axelle Gelineau, Frédéric Barbot. (2019). Ergotact. , 1–6[10.1145/3290607.3312920]
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