Sensor-Based Human Activity and Behavior Computing-Reference-Cited by-同舟云学术

Sensor-Based Human Activity and Behavior Computing

Published:2021 Issue: Volume: Page:147-176
ISSN:1868-4394
Container-title:Vision, Sensing and Analytics: Integrative Approaches
language:
Short-container-title:

Author:

Antar Anindya Das,Ahmed Masud,Ahad Md Atiqur Rahman

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-75490-7_6

Reference226 articles.

1. Wang, H., Zhao, J., Li, J., Tian, L., Tu, P., Cao, T., An, Y., Wang, K., Li, S.: Wearable sensor-based human activity recognition using hybrid deep learning techniques. Secur. Commun. Netw. 2020 (2020)

2. Dang, L.M., Min, K., Wang, H., Piran, Md.J., Lee, C.H., Moon, H.: Sensor-based and vision-based human activity recognition: a comprehensive survey. Pattern Recog. 107561 (2020)

3. Ahad, M.A.R., Antar, A.D., Ahmed, M.: IoT Sensor-Based Activity Recognition. Springer (2020)

4. Ahad, M.A.R., Antar, A.D., Shahid, O.: Vision-based action understanding for assistive healthcare: a short review. In: CVPR Workshops, pp. 1–11 (2019)

5. Abdel-Salam, R., Mostafa, R., Hadhood, M.: Human activity recognition using wearable sensors: review, challenges, evaluation benchmark. arXiv preprint arXiv:2101.01665 (2021)

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