Artificial Intelligence in Human Locomotor System

Author:

Sarkodie-Gyan Thompson,Yu Huiying

Publisher

Springer International Publishing

Reference122 articles.

1. Sarkodie-Gyan, T., Huiying, Y., Bogale, M., Hernandez, N. V., & Pirela-Cruz, M. (2017). Application of multiple sensor data fusion for the analysis of human dynamic behavior in space: Assessment and evaluation of mobility-related functional impairments. Journal of Biomedical Science and Engineering, 10, 182–203. https://doi.org/10.4236/jbise.2017.104015

2. Sarkodie-Gyan, T., Huiying, Y., Alaqtash, M., Bogale, M. A., Moody, J., & Brower, R. (2013). Application of fuzzy sets for assisting the physician’s model of functional impairments in human locomotion. Journal of Intelligent Fuzzy Systems, 25, 1001.

3. Alaqtash, M., Huiying, Y., Brower, R., Abdelgawad, A., & Sarkodie-Gyan, T. (2011). Application of wearable sensors for human gait analysis using fuzzy computational algorithm. Elsevier Journal Engineering Applications of Artificial Intelligence, 24, 1018.

4. Mergner, T. (2002). The Matryoshka Dolls principle in human dynamic behavior in space: A theory of linked references for multisensory perception and control of action. Cahiers de Psychologie Cognitive/Current Psychology of Cognition, 21, 129.

5. Nishikawa, K., Biewener, A. A., Aerts, P., Ahn, A. N., Chiel, H. J., Daley, M. A., Daniel, T. L., Full, R. J., Hale, M. E., Hedricks, T. L., Kristopher Lappin, A., Richard Nichols, T., Quinn, R. D., Satterlie, R. A., & Azymik, B. (2006). Neuromechanics: An integrative approach for understanding motor control. From the symposium ‘Biomechanics and Neuromuscular Control’ presented at the annual meeting of the Society for Integrative and Comparative Biology; January 4–8, 2006.

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