Human Gait Recognition
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-43192-1_37
Reference14 articles.
1. Muro-de-la-Herran, A., et al.: Gait analysis methods: an overview of wearable and non-wearable systems, highlighting clinical applications. Sensors 14(2), 3362–3394 (2014)
2. Sharma, T., Dub, S., Gupta, B.: Performance analysis of ANN based gait recognition. Int. J. Sci. Res. Sci. Technol. 112–125 (2018)
3. Tao, W., et al.: Gait analysis using wearable sensors. Sensors 12(2), 2255–2283 (2012)
4. Kong, W., Saad, M.H., Hannan, M.A., Hussain, A.: Human gait state classification using artificial neural network. In: 2014 IEEE Symposium on Computational Intelligence for Multimedia, Signal and Vision Processing (CIMSIVP), Orlando, FL, pp. 1–5 (2014)
5. Castermans, T., et al.: Towards effective non-invasive brain-computer interfaces dedicated to gait rehabilitation systems. Brain Sci. 4(1), 1–48 (2013)
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