ARCHIVES

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International,” 31(3), 236–257.
[2]. Cipriani, C, Antfolk C, Controzzi M, Lundborg G, Rosén B, and Carrozza M. C. (2011). “Online myoelectric control of a dexterous
hand prosthesis by trans radial amputees. IEEE Transactions on Neural Systems and Rehabilitation Engineering,” 19(3), 260–
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[3]. Pfeiffer, M., & Wolf, P. (2018). “Wearable sensor-based fall detection: A review. Sensors,” 18(7), 1919.
[4]. M. Esposti S, Kamavuako E, Vitiello N, and Farina D (2016). “Characterization of force and position control in myoelectric multi-
digit hand prostheses. IEEE Transactions on Neural Systems and Rehabilitation Engineering,” 24(4), 375-384.
[5]. Betancourt A, and Reinhard K. (2014). “Impact of gaze and head pose estimation in visual attention for human-robot interaction.
Image and Vision Computing,” 32(3), 176–186.
[6]. Ge Y., Feng, T., Zhang, Y., & Qiao, Z. (2020).” Human-computer interaction for hand prosthesis based on voice control.” IEEE
Transactions on Cognitive and Developmental Systems, H., & Cao, L. (2019).
[7]. Mazomenos E B, Biswas D., Acharyya A, and Maharatna K. (2012). “Detecting falls using accelerometers by hierarchical classifiers.
Journal of Ambient Intelligence and Humanized Computing,” 3(4), 337–352
[8]. Zabaleta H., Amigo, E, and Albarado, C. (2020).” Gaze-based control for wearable prosthetics. IEEE Transactions on Neural
Systems and Rehabilitation Engineering,” 28(4), 820-828.
[9]. Smith, A., & McCormack, J. (2018). “Fall detection and prevention in wearable devices. IEEE Biomedical Circuits and Systems,”
12(5), 872-883.