With the advancement of wireless technologies and sensing methodologies, many studies have shown the success of re-using wireless signals (eg, WiFi) to sense human activities …
Driven by a wide range of real-world applications, significant efforts have recently been made to explore device-free human activity recognition techniques that utilize the …
The past few years have witnessed the great potential of exploiting channel state information retrieved from commodity WiFi devices for respiration monitoring. However, existing …
In this article, we present a survey of recent advances in passive human behavior recognition in indoor areas using the channel state information (CSI) of commercial WiFi …
M Zhao, F Adib, D Katabi - Proceedings of the 22nd annual international …, 2016 - dl.acm.org
This paper demonstrates a new technology that can infer a person's emotions from RF signals reflected off his body. EQ-Radio transmits an RF signal and analyzes its reflections …
Since human bodies are good reflectors of wireless signals, human activities can be recognized by monitoring changes in WiFi signals. However, existing WiFi-based human …
Y Wang, K Wu, LM Ni - IEEE Transactions on Mobile Computing, 2016 - ieeexplore.ieee.org
Injuries that are caused by falls have been regarded as one of the major health threats to the independent living for the elderly. Conventional fall detection systems have various …
W Wang, AX Liu, K Sun - Proceedings of the 22nd Annual International …, 2016 - dl.acm.org
Device-free gesture tracking is an enabling HCI mechanism for small wearable devices because fingers are too big to control the GUI elements on such small screens, and it is also …
The IEEE 802.11 standard for wireless local area networking (WLAN), commercially known as Wi-Fi, has become a necessity in our day-to-day life. Over a billion Wi-Fi access points …