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NTIS 바로가기한국융합신호처리학회논문지 = Journal of the Institute of Convergence Signal Processing, v.23 no.4, 2022년, pp.234 - 240
김창민 (상지대학교 융합기술공과대학 정보통신소프트웨어공학과) , 이우범 (상지대학교 융합기술공과대학 정보통신소프트웨어공학과)
This paper proposes a customized AI exercise recommendation service for balancing the relative amount of exercise according to the working environment by each occupation. WISDM database is collected by using acceleration and gyro sensors, and is a dataset that classifies physical activities into 18 ...
J. H. Kim, Y. H. Noh and D. U. Jeong, "Implementation of Real-time Heart Activity Monitoring System Using Heart Sound," Journal of the Korea Institute of Convergence Signal Processing, vol. 19, no. 1, pp. 14-19, 2018.
J. Wang, Y. Chen, S. Hao, X. Peng and L. Hu, "Deep learning for sensor-based activity recognition: A survey," Pattern recognition letters, vol. 119, pp. 3-11, 2019.
Y. Tian, J. Zhang, J. Wang, Y. Geng, and X. Wang, "Robust human activity recognition using single accelerometer via wavelet energy spectrum features and ensemble feature selection," Systems Science & Control Engineering, vol. 8, no. 1, pp. 83-96, 2020.
J. Kang, J. Shin, J.Shin, D. Lee and A. Choi, "Robust Human Activity Recognition by Integrating Image and Accelerometer Sensor Data Using Deep Fusion Network," Sensors, vol. 22, no. 1, pp. 174-193, 2021.
D. Anguita, A. Ghio, L. Oneto, X. Parra, and J. L. Reyes-Ortiz, "Human activity recognition on smartphones using a multi class hardware-friendly support vector machine," In International workshop on ambient assisted living. Springer, Berlin, Heidelberg, 2012, pp. 216-223.
G. Sengul, M. Karakaya, S. Misra, O. O. Abayomi-Alli and R. Damasevicius, "Deep learning based fall detection using smartwatches for healthcare applications," Biomedical Signal Processing and Control, vol. 71, pp. 103242-103229, Jan. 2022.
A. D. Ignatov, V. V. Strijov, "Human activity recognition using quasiperiodic time series collected from a single tri-axial accelerometer," Multimedia tools and applications, vol. 75, no. 12, pp. 7257-7270, Oct. 2016.
G. M. Weiss, "Wisdm smartphone and smartwatch activity and biometrics dataset," UCI Machine Learning Repository: WISDM Smartphone and Smartwatch Activity and Biometrics Dataset Data Set, vol. 7, pp. 133190-133202, 2019.
X. Li, Y. Wang, B. Zhang, and J. Ma, "PSDRNN: An efficient and effective HAR scheme based on feature extraction and deep learning," IEEE Transactions on Industrial Informatics, vol. 16, no. 10, pp. 6703-6713, 2020.
K. Xia, J. Huang and H. Wang, "LSTM-CNN architecture for human activity recognition," IEEE Access, vol. 8, pp. 56855-56866, 2020.
S. W. Pienaar and R. Malekian. "Human activity recognition using LSTM-RNN deep neural network architecture," In 2019 IEEE 2nd wireless africa conference (WAC), 2019, pp. 1-5.
N. Dua, S. N. Singh and V. B. Semwal, "Multi-input CNN-GRU based human activity recognition using wearable sensors,". Computing, vol. 103, no. 7, pp. 1461-1478, 2021.
U. Verma, P. Tyagi and M. Kaur, "Single Input Single Head CNN-GRU-LSTM Architecture for Recognition of Human Activities," Indonesian Journal of Electrical Engineering and Informatics (IJEEI), vol. 10, no. 2, pp. 410-420, 2022.
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