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An LSTM-Based Approach for Understanding Human Interactions Using Hybrid Feature Descriptors over Depth Sensors
(Institute of Electrical and Electronics Engineers Inc., 2021)
Over the past few years, automatic recognition of human interactions has drawn significant attention from researchers working in the field of Artificial Intelligence (AI). And feature extraction is one of the most critical ...
MS-DLD: Multi-Sensors based Daily Locomotion Detection via Kinematic-Static Energy and Body-Specific HMMs
(Institute of Electrical and Electronics Engineers Inc., 2022)
More adaptable and user-independent techniques are required for multi-sensors based daily locomotion detection (MS-DLD). This research study proposes a couple of locomotion detection methods using body-worn multi-sensors ...
Human Pose Estimation and Object Interaction for Sports Behaviour
(Tech Science Press, 2022)
In the new era of technology, daily human activities are becoming more challenging in terms of monitoring complex scenes and backgrounds. To understand the scenes and activities from human life logs, human-object interaction ...
Sensors-Based Ambient Assistant Living via E-Monitoring Technology
(Tech Science Press, 2022)
Independent human living systems require smart, intelligent, and sustainable online monitoring so that an individual can be assisted timely. Apart from ambient assisted living, the task of monitoring human activities plays ...
Automatic Anomaly Monitoring in Public Surveillance Areas
(Tech Science Press, 2022)
With the dramatic increase in video surveillance applications and public safety measures, the need for an accurate and effective system for abnormal/sus-picious activity classification also increases. Although it has ...