TY - JOUR
T1 - LiDAR Technology for Human Activity Recognition: Outlooks and Challenges
AU - Rinchi, Omar
AU - Ghazzai, Hakim
AU - Alsharoa, Ahmad
AU - Massoud, Yehia Mahmoud
N1 - KAUST Repository Item: Exported on 2023-06-14
PY - 2023/6/6
Y1 - 2023/6/6
N2 - The smart and autonomous learning and recognition of human activities will certainly lead to an incredible progression for several applications and services in public healthcare, education, entertainment, safety and security, and more. With the recent advances in artificial intelligence, signal processing, and computational capabilities, light detection and ranging (LiDAR) technology can play an instrumental role to revamp current human activity recognition (HAR) systems. In this magazine, we investigate the potential of using LiDAR sensors as a novel technology enabling complex and real-time HAR applications. We first overview the HAR categories and the existing state-of-the-art technologies: video-based cameras, depth sensors, wearable devices, and WiFi. Afterward, we delve into the integration of LiDAR technology to perform HAR applications. Then, we discuss the advantages and drawbacks of utilizing LiDAR technology for HAR and compare it with the existing techniques. Finally, we discuss the challenges that need to be addressed to enable advanced LiDAR-based HAR applications.
AB - The smart and autonomous learning and recognition of human activities will certainly lead to an incredible progression for several applications and services in public healthcare, education, entertainment, safety and security, and more. With the recent advances in artificial intelligence, signal processing, and computational capabilities, light detection and ranging (LiDAR) technology can play an instrumental role to revamp current human activity recognition (HAR) systems. In this magazine, we investigate the potential of using LiDAR sensors as a novel technology enabling complex and real-time HAR applications. We first overview the HAR categories and the existing state-of-the-art technologies: video-based cameras, depth sensors, wearable devices, and WiFi. Afterward, we delve into the integration of LiDAR technology to perform HAR applications. Then, we discuss the advantages and drawbacks of utilizing LiDAR technology for HAR and compare it with the existing techniques. Finally, we discuss the challenges that need to be addressed to enable advanced LiDAR-based HAR applications.
UR - http://hdl.handle.net/10754/692599
UR - https://ieeexplore.ieee.org/document/10145011/
U2 - 10.1109/iotm.001.2200199
DO - 10.1109/iotm.001.2200199
M3 - Article
SN - 2576-3180
VL - 6
SP - 143
EP - 150
JO - IEEE Internet of Things Magazine
JF - IEEE Internet of Things Magazine
IS - 2
ER -
