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Recent trends in gesture recognition: how depth data has improved classical approaches.

, , , and . Image Vis. Comput., (2016)

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Q-Learning: computation of optimal Q-values for evaluating the learning level in robotic tasks., and . J. Exp. Theor. Artif. Intell., 13 (3): 241-270 (2001)Ambient Assisted Living: A Review of Technologies, Methodologies and Future Perspectives for Healthy Aging of Population., , , , and . Sensors, 21 (10): 3549 (2021)Consensus-based distributed estimation for target tracking in heterogeneous sensor networks., , , and . CDC/ECC, page 6648-6653. IEEE, (2011)RFID tag bearing estimation for mobile robot localization., , , and . ICAR, page 1-6. IEEE, (2009)A Heterogeneous Robotic Network for Distributed Ambient Assisted Living., , , , , , and . Human Behavior Understanding in Networked Sensing, Springer, (2014)Video Based Mobility Monitoring of Elderly People Using Deep Learning Models., , , and . IEEE Access, (2023)Development of intelligent service robots., , , , , , , , , and 9 other author(s). Intelligenza Artificiale, 7 (2): 139-152 (2013)Performance Analysis of Gesture Recognition Classifiers for Building a Human Robot Interface., , , and . MPRSS, volume 10183 of Lecture Notes in Computer Science, page 60-72. Springer, (2016)Learning actions from vision-based positioning in goal-directed navigation., , , and . IROS, page 1715-1720. IEEE, (1998)Multi-sensor surveillance of indoor environments by an autonomous mobile robot., , , , and . IJISTA, 8 (1/2/3/4): 18-35 (2010)