DSCNN-CAU: Deep-Learning-Based Mental Activity Classification for IoT Implementation Toward Portable BCI
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3232481
Abstract: Mental activity classification (MAC) based on electroencephalogram (EEG) is used in the brain–computer interface (BCI) and neurofeedback applications. For this purpose, machine learning and deep learning (DL) techniques are utilized in the previous studies. However,… read more here.
Keywords: bci; iot implementation; mental activity; activity classification ... See more keywords
Autonomous Human Activity Classification From Wearable Multi-Modal Sensors
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DOI: 10.1109/jsen.2019.2934678
Abstract: There has been significant amount of research work on human activity classification relying either on Inertial Measurement Unit (IMU) data or data from static cameras providing a third-person view. There has been relatively less work… read more here.
Keywords: human activity; imu data; activity classification; activity ... See more keywords
Continual Learning of Micro-Doppler Signature-Based Human Activity Classification
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2020.3046015
Abstract: Human activity classification based on micro-Doppler signatures measured by radar recently has been successfully applied in diverse applications due to the improvement of machine learning methods, e.g., deep convolutional neural networks (DCNNs). Despite the success,… read more here.
Keywords: activity classification; continual learning; activity; micro doppler ... See more keywords
Human Activity Classification Based on Micro-Doppler Signatures Separation
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3105124
Abstract: Human activity classification based on micro-Doppler (m-D) signatures finds applications in surveillance, search and rescue operations, and healthcare. In this article, we propose a new approach for human activity classification. This approach deals with the… read more here.
Keywords: classification; activity classification; based micro; classification based ... See more keywords
3D Human Activity Classification with 3D Zernike Moment Based Convolutional, LSTM-Deep Neural Networks
Sign Up to like & getrecommendations! Published in 2021 at "Traitement du Signal"
DOI: 10.18280/ts.380203
Abstract: Received: 29 September 2020 Accepted: 8 March 2021 In this paper, we propose a method for classification 3D human activities using the complementarity of CNNs, LSTMs, and DNNs by combining them into one unified architecture… read more here.
Keywords: zernike moment; classification; activity classification; human activity ... See more keywords