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Enhanced Hand-Oriented Activity Recognition Based on Smartwatch Sensor Data Using LSTMs.

, , , and . Symmetry, 12 (9): 1570 (2020)

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ResNet-SE: Channel Attention-Based Deep Residual Network for Complex Activity Recognition Using Wrist-Worn Wearable Sensors., , , , and . IEEE Access, (2022)Classifying Activities of Electrical Line Workers Based on Deep Learning Approaches Using Wrist-Worn Sensor., and . JCSSE, page 270-274. IEEE, (2023)A Novel Deep BiGRU-ResNet Model for Human Activity Recognition using Smartphone Sensors., , , and . JCSSE, page 1-5. IEEE, (2022)Enhancing Sensor-Based Human Activity Recognition using Efficient Channel Attention., and . SENSORS, page 1-4. IEEE, (2023)Human Activity Recognition Using Triaxial Acceleration Data from Smartphone and Ensemble Learning., , and . SITIS, page 408-412. IEEE Computer Society, (2017)Smartwatch-based Human Activity Recognition Using Hybrid LSTM Network., and . IEEE SENSORS, page 1-4. IEEE, (2020)Wearable Fall Detection Based on Motion Signals Using Hybrid Deep Residual Neural Network., , , and . MIWAI, volume 13651 of Lecture Notes in Computer Science, page 216-224. Springer, (2022)Position-aware Human Activity Recognition with Smartphone Sensors based on Deep Learning Approaches., and . TSP, page 43-46. IEEE, (2023)Deep Residual Networks for Human Activity Recognition based on Biosignals from Wearable Devices., , and . TSP, page 310-313. IEEE, (2022)Smartwatch-based Eating Detection and Cutlery Classification using a Deep Residual Network with Squeeze-and-Excitation Module., , and . TSP, page 301-304. IEEE, (2022)