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Design of Optimal Deep Learning based Human Activity Recognition on Sensor Enabled Internet of Things Environment
In recent times, Human activity recognition (HAR) becomes a major challenging issue among computer vision applications in day to day lives. The HAR is mainly envisioned to be utilized with other technologies, namely Internet of Things (IoT) and sensor technologies. Due to the advancements of deep learning (DL) approaches, automated high level feature extraction process can be utilized to improve the HAR results. In addition, DL techniques can be employed in different domains of sensor enableddoi:10.1109/access.2021.3112973 fatcat:kftz3dhyb5dw5n35obkuxgyhgi