Augmenting user identification with WiFi based gesture recognition

M Shahzad, S Zhang - Proceedings of the ACM on Interactive, Mobile …, 2018 - dl.acm.org
Over the last few years, researchers have proposed several WiFi based gesture recognition
systems that can recognize predefined gestures performed by users at runtime. As most …

DeepSeg: Deep-learning-based activity segmentation framework for activity recognition using WiFi

C Xiao, Y Lei, Y Ma, F Zhou… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Due to its nonintrusive character, WiFi channel state information (CSI)-based activity
recognition has attracted tremendous attention in recent years. Since activity recognition …

Real-time identification of rogue WiFi connections using environment-independent physical features

P Liu, P Yang, WZ Song, Y Yan… - IEEE INFOCOM 2019 …, 2019 - ieeexplore.ieee.org
WiFi has become a pervasive communication medium in connecting various devices of
WLAN and IoT. However, WiFi connections are vulnerable to the impersonation attack from …

WiHF: Gesture and user recognition with WiFi

C Li, M Liu, Z Cao - IEEE Transactions on Mobile Computing, 2020 - ieeexplore.ieee.org
User identified gesture recognition is a fundamental step towards ubiquitous WiFi based
sensing. We propose WiHF, which first simultaneously enables cross-domain gesture …

DeepMV: Multi-view deep learning for device-free human activity recognition

H Xue, W Jiang, C Miao, F Ma, S Wang… - Proceedings of the …, 2020 - dl.acm.org
Recently, significant efforts are made to explore device-free human activity recognition
techniques that utilize the information collected by existing indoor wireless infrastructures …

Enabling gesture-based interactions with objects

L Shangguan, Z Zhou, K Jamieson - Proceedings of the 15th Annual …, 2017 - dl.acm.org
Increasing numbers of everyday objects in libraries, stores and warehouses are
instrumented with passive RFID tags, resulting in a ripe opportunity for gesture-based …

BodyScan Enabling Radio-based Sensing on Wearable Devices for Contactless Activity and Vital Sign Monitoring

B Fang, ND Lane, M Zhang, A Boran… - Proceedings of the 14th …, 2016 - dl.acm.org
Wearable devices are increasingly becoming mainstream consumer products carried by
millions of consumers. However, the potential impact of these devices is currently …

Gesture-radar: A dual doppler radar based system for robust recognition and quantitative profiling of human gestures

Z Wang, Z Yu, X Lou, B Guo… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Gesture recognition is key to enabling natural human-computer interactions. Existing
approaches based on wireless sensing focus on accurate identification of arm gesture types …

[PDF][PDF] Machine Learning-Assisted Sensing Techniques for Integrated Communications and Sensing in WLANs: Current Status and Future Directions.

S Shao, M Fan, C Yu, Y Li, X Xu, H Wang - Progress In Electromagnetics …, 2022 - jpier.org
Sensing is a key basis for building an intelligent environment. Using channel state
information (CSI) from the IEEE 802.11 physical layer in the wireless local access networks …

FreeSense: A robust approach for indoor human detection using Wi-Fi signals

T Xin, B Guo, Z Wang, P Wang, JCK Lam, V Li… - Proceedings of the ACM …, 2018 - dl.acm.org
Human detection aims to monitor how people are moving in an area of interest. There are
many potential applications such as asset security monitoring, emergency management …