Human Activity Recognition by Using Different Deep Learning Approaches for Wearable Sensors
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software
Link
https://link.springer.com/content/pdf/10.1007/s11063-021-10448-3.pdf
Reference45 articles.
1. Tateno S, Meng F, Qian R, Li T (2020) Human motion detection based on low resolution infrared array sensor. IN: 2020 59th Annual conference of the society of instrument and control engineers of Japan (SICE), Chiang Mai, Thailand, 2020, pp 1016–1021
2. Paydarfar AJ, Prado A, Agrawal SK (2020) Human activity recognition using recurrent neural network classifiers on raw signals from insole piezoresistors. In: 2020 8th IEEE RAS/EMBS international conference for biomedical robotics and biomechatronics (BioRob), New York City, NY, USA, pp 916–921. https://doi.org/10.1109/BioRob49111.2020.9224311
3. Ihianle IK, Nwajana AO, Ebenuwa SH, Otuka RI, Owa K, Orisatoki MO (2020) A deep learning approach for human activities recognition from multimodal sensing devices. IEEE Access 8:179028–179038. https://doi.org/10.1109/ACCESS.2020.3027979
4. Krishnaprabha KK, Raju CK (2020) Predicting human activity from mobile sensor data using CNN architecture. In: 2020 Advanced computing and communication technologies for high performance applications (ACCTHPA), Cochin, India, pp 206–210. https://doi.org/10.1109/ACCTHPA49271.2020.9213225
5. Masum AKM, Bahadur EH, Shan-A-Alahi A, Uz Zaman Chowdhury MA, Uddin MR, Al Noman A (2019) Human activity recognition using accelerometer, gyroscope and magnetometer sensors: deep neural network approaches. In: 2019 10th International conference on computing, communication and networking technologies (ICCCNT), Kanpur, India, pp 1–6. https://doi.org/10.1109/ICCCNT45670.2019.8944512
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