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Head Gesture Recognition Based on Capacitive Sensors Using Deep Learning Algorithms Cover

References

  1. Aljarrah A., Ali A., Human Activity Recognition Using PCA and BiLSTM Recurrent Neural Networks, Proc. Internat. Conf. on Engineering Tech. and its Appl., IICETA 2019, 156-160.10.1109/IICETA47481.2019.9012979
  2. Bashar S., Al Fahim A., Chon K., Smartphone Based Human Activity Recognition with Feature Selection and Dense Neural Network, Proc. Annual Internat. Conf. of IEEE EMBC Society, 2020, 5888-5891.10.1109/EMBC44109.2020.917623933019314
  3. Chang W., Hsu C., Chen L., Su J., Chen M., A Wearable Devices-Based Home Sports Recording System for Health Management, Proc. IEEE Internat. Conf. on Consumer Electronics, ICCE-Taiwan 2020, 1-2.10.1109/ICCE-Taiwan49838.2020.9258028
  4. Darvishzadeh A. et al., CNN-BLSTM-CRF Network for Semantic Labeling of Students’ Online Handwritten Assignments, Proc. Internat. Conf. on Document Analysis and Recognition, ICDAR 2019, 1035-1040.10.1109/ICDAR.2019.00169
  5. Dobrea M., Dobrea D., Severin I., A New Wearable System for Head Gesture Recognition Designed to Control an Intelligent Wheelchair, Proc. E-Health and Bioeng. Conf., EHB 2019, 1-5.10.1109/EHB47216.2019.8969993
  6. Dobrea D., Dobrea M., A Neuronal Model of the 3D Head Position Based on a Wearable System, Proc. Internat. Conf. and Exposition on Electrical and Power Eng., EPE 2018, 0341-0346.10.1109/ICEPE.2018.8559815
  7. Du Y., Lim Y., Tan Y., Activity Prediction using LSTM in Smart Home, Proc. IEEE 8-th Global Conf. on Consumer Electronics, GCCE 2019, 918-919.10.1109/GCCE46687.2019.9015492
  8. Kusumo B., Heryana A., Nugraheni E., Rozie A., Setiadi B., Recognizing Human Activities and Earthquake Vibration from Smartphone Accelerometers Using LSTM Algorithm, Proc. Internat. Conf. on Computer, Control, Informatics and its Applications, IC3INA 2018, Tangerang, Indonesia, 88-92.10.1109/IC3INA.2018.8629514
  9. Mohmed G., Lotfi A., Pourabdollah A., Convolutional Neural Network Classifier with Fuzzy Feature Representation for Human Activity Modelling, Proc. IEEE Internat. Conf. on Fuzzy Systems, FUZZ-IEEE 2020, 1-7.10.1109/FUZZ48607.2020.9177851
  10. Shiranthika C., Premakumara N., Chiu H.-L., Samani H., Shyalika C., Yang C.-Y., Human Activity Recognition Using CNN & LSTM, Proc. 5-th Internat. Conf. on Information Tech. Research, ICITR 2020, 1-6.10.1109/ICITR51448.2020.9310792
  11. Severin I., Dobrea D., Head Gesture Recognition Based on 6DOF Inertial Sensor Using Artificial Neural Network, Proc. Internat. Symp. on Electronics and Telecomm., ISETC 2020, 1-4.10.1109/ISETC50328.2020.9301099
  12. Severin I., Dobrea D., Dobrea M., Head Gesture Recognition using a 6DOF Inertial IMU, Internat. J. of Computers Comm. & Control, 15, (2020).10.15837/ijccc.2020.3.3856
  13. Srinivasan A. et al., Elder Care System Using IoT and Machine Learning in AWS Cloud, Proc. IEEE 17-th Internat. Conf. on Smart Communities: Improving Quality of Life Using ICT, IoT and AI, HONET 2020, 92-98.10.1109/HONET50430.2020.9322834
  14. Xia K., Huang J., Wang H., LSTM-CNN Architecture for Human Activity Recognition, IEEE Access, 8, 56855-56866 (2020).10.1109/ACCESS.2020.2982225
  15. Yang S., Research on Network Behavior Anomaly Analysis Based on Bidirectional LSTM, Proc. IEEE 3-rd Inf. Tech., Networking, Electronic and Automation Control Conference, ITNEC 2019, Chengdu, China, 798-802.10.1109/ITNEC.2019.8729475
DOI: https://doi.org/10.2478/bipie-2021-0018 | Journal eISSN: 2537-2726 | Journal ISSN: 1223-8139
Language: English
Page range: 73 - 92
Submitted on: Oct 13, 2021
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Accepted on: Dec 28, 2021
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Published on: Jun 18, 2022
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2022 Ionuţ-Cristian Severin, Dan-Marius Dobrea, published by Gheorghe Asachi Technical University of Iasi
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.