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Comparative Performance Study on Human Activity Recognition with Deep Neural Networks
Intelligence Science III - IFIP Advances in Information and Communication Technology
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10.1007/978-3-030-74826-5_21
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2021
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pp. 241-251
Author(s):
Kavya Sree Gajjala
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Ashika Kothamachu Ramesh
◽
Kotaro Nakano
◽
Basabi Chakraborty
Keyword(s):
Neural Networks
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Activity Recognition
◽
Human Activity
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Deep Neural Networks
◽
Human Activity Recognition
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Performance Study
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Comparative Performance
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A study of deep neural networks for human activity recognition
Computational Intelligence
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Neural Computing and Applications
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Deep Neural Networks for Human Activity Recognition With Wearable Sensors: Leave-One-Subject-Out Cross-Validation for Model Selection
IEEE Access
◽
10.1109/access.2020.3010715
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2020
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A Hybrid Deep Neural Networks for Sensor-based Human Activity Recognition
2020 12th International Conference on Advanced Computational Intelligence (ICACI)
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Deep Neural Networks for Time Series Classification in Human Activity Recognition
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◽
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IEEE Transactions on Instrumentation and Measurement
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Inertial Sensor-based Human Activity Recognition Using Hybrid Deep Neural Networks
10.1109/cisp-bmei53629.2021.9624347
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◽
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Liang Xiao
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Improved Sensor Based Human Activity Recognition via Hybrid Convolutional and Recurrent Neural Networks
2021 IEEE International Symposium on Inertial Sensors and Systems (INERTIAL)
◽
10.1109/inertial51137.2021.9430460
◽
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◽
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Sonia Perez-Gamboa
◽
Qingquan Sun
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Human activity recognition using neural networks
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