In recent years, the development of wireless network provides the hardware foundation for wireless perception within indoor environment. The wireless sensing system has been applied in many fields, such as intrusion detection, search rescue, gesture recognition and abnormal human activities detection such as falling, wandering behaviour, breathing and heart rates and so on. Among of them, Wi-Fi sensing has proven to be effective since it exploits off-the-shelf low-cost small wireless devices operating at 2.4 GHz frequency band and also a potential field for real-time sensing method for human recognition. This paper presents foundation for real-time Wi-Fi sensing system to detect various human activities when performed in indoor settings.
|Title of host publication||2021 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, APS/URSI 2021 - Proceedings|
|Number of pages||2|
|Publication status||Published - 16 Feb 2022|
|Event||2021 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting - Singapore, Singapore|
Duration: 4 Dec 2021 → 10 Dec 2021
|Name||2021 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, APS/URSI 2021 - Proceedings|
|Conference||2021 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting|
|Period||4/12/21 → 10/12/21|
Bibliographical notePublisher Copyright:
© 2021 IEEE.
- Human Activity Recognition
- Channel State Information (CSI)
- RF signals
- Machine Learning