Context Recognition by Wireless Sensing: A Comprehensive Survey

Author:

Uchiyama Akira12,Saruwatari Shunsuke1,Maekawa Takuya1,Ohara Kazuya3,Higashino Teruo1

Affiliation:

1. Graduate School of Information Science and Technology, Osaka University

2. JST, PRESTO

3. NTT Communication Science Laboratories

Publisher

Information Processing Society of Japan

Subject

General Computer Science

Reference93 articles.

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2. [2] Wang, Z., Jiang, K., Hou, Y., Dou, W., Zhang, C., Huang, Z. and Guo, Y.: A Survey on Human Behavior Recognition Using Channel State Information, IEEE Access, Vol.7, pp.155986-156024 (2019).

3. [3] Ma, Y., Zhou, G. and Wang, S.: WiFi Sensing with Channel State Information: A Survey, ACM Comput. Surv., Vol.52, No.3 (online), DOI: 10.1145/3310194 (2019).

4. [4] Yousefi, S., Narui, H., Dayal, S., Ermon, S. and Valaee, S.: A Survey on Behavior Recognition Using WiFi Channel State Information, IEEE Communications Magazine, Vol.55, No.10, pp.98-104 (2017).

5. [5] Liu, J., Liu, H., Chen, Y., Wang, Y. and Wang, C.: Wireless Sensing for Human Activity: A Survey, IEEE Communications Surveys Tutorials, Vol.22, No.3, pp.1629-1645 (2020).

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