- Home
- Archives
- 2025
- Vol. 6 Issue 3
- Article
Anthropomorphic Vision Based AI Prosthetic Arm with Voice Control and Safety Monitoring
Authors
12345 Department of Electronics and Communication Engineering, BGS Institute of technology, Adichunchanagiri University, Mandya, Karnataka, India.
Article Information
- Published In
- Volume 6, Issue 3 (2025)
- Published Online
- May-June 2025
- Pages
- 78-82
- Article Type
- Original Article
References
[1]. Biddiss E, and Chau, T. (2007).” Upper limb prosthesis use and abandonment: A survey of the last 25 years. Prosthetics and Orthotics
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–
270.Pfeiffer, M., & Wolf, P. (2018).
[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.
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–
270.Pfeiffer, M., & Wolf, P. (2018).
[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.
Related Articles
Share Article
*Instagram doesn't support direct link sharing from web. Copy the link and share it in your Instagram story or post.