2 results match your criteria: "Nutan College of Engineering and Research[Affiliation]"
A brief survey on human activity recognition using motor imagery of EEG signals.
Electromagn Biol Med
October 2024
Computer Science and Engineering, Nutan College of Engineering and Research, Talegaon Dabhade, Pune, India.
Article Synopsis
- Human biological and psychological activities are closely linked to brain functions, making it essential to study human activity for overall well-being.
- The survey evaluates 50 research articles on Human Activity Recognition (HAR) using Motor Imagery (MI)-based Brain-Computer Interface (BCI) systems and Electroencephalogram (EEG) signals.
- Various methods for HAR are classified into Machine Learning (ML) and Deep Learning (DL) models, with a discussion on challenges, performance metrics, and existing research gaps to enhance future efforts in this field.
HARNet in deep learning approach-a systematic survey.
Sci Rep
April 2024
Department of Electrical and Computer Engineering, Hawassa University, Hawassa 05, Ethiopia.
A comprehensive examination of human action recognition (HAR) methodologies situated at the convergence of deep learning and computer vision is the subject of this article. We examine the progression from handcrafted feature-based approaches to end-to-end learning, with a particular focus on the significance of large-scale datasets. By classifying research paradigms, such as temporal modelling and spatial features, our proposed taxonomy illuminates the merits and drawbacks of each.
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