Publisher
Springer Nature Switzerland
Reference12 articles.
1. De Lima, E.S., Feijó, B.: Artificial intelligence in human-robot interaction. In: Ayanoğlu Hande and Duarte E (ed) Emotional Design in Human-Robot Interaction: Theory, Methods and Applications. Springer International Publishing, Cham, pp 187–199 (2019)
2. Digo, E., Antonelli, M., Pastorelli, S., Gastaldi, L.: Upper limbs motion tracking for collaborative robotic applications. In: Interaction, H., Technologies, E., Applications, F. (eds.) Ahram Tareq and Taiar R and LK and CA, pp. 391–397. III. Springer International Publishing, Cham (2021)
3. Digo, E., Polito, M., Pastorelli, S., Gastaldi, L.: Detection of upper limb abrupt gestures for human–machine interaction using deep learning techniques. J. Braz. Soc. Mech. Sci. Eng. 46, 227 (2024). https://doi.org/10.1007/s40430-024-04746-9
4. Suhendar, A., Ayuningsih, T., Suyanto, S.: Skeletal-based classification for human activity recognition. In: Proceedings - 2022 IEEE International Conference on Cybernetics and Computational Intelligence, CyberneticsCom 2022. Institute of Electrical and Electronics Engineers Inc., pp 365–370 (2022)
5. Melchiorre, M., Scimmi, L.S., Mauro, S., Pastorelli, S.P.: Vision-based control architecture for human–robot hand-over applications. Asian J. Control 23, 105–117 (2021). https://doi.org/10.1002/asjc.2480