Y Ma, G Zhou, S Wang - ACM Computing Surveys (CSUR), 2019 - dl.acm.org
With the high demand for wireless data traffic, WiFi networks have experienced very rapid growth, because they provide high throughput and are easy to deploy. Recently, Channel …
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 …
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 …
Human activity recognition can benefit various applications including healthcare services and context awareness. Since human actions will influence WiFi signals, which can be …
This paper presents Widar2. 0, the first WiFi-based system that enables passive human localization and tracking using a single link on commodity off-the-shelf devices. Previous …
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 …
Wi-Fi localization and tracking face accuracy limitations dictated by antenna count (for angle- of-arrival methods) and frequency bandwidth (for time-of-arrival methods). This paper …
W Wang, AX Liu, M Shahzad - … of the 2016 ACM international joint …, 2016 - dl.acm.org
In this paper, we propose WifiU, which uses commercial WiFi devices to capture fine-grained gait patterns to recognize humans. The intuition is that due to the differences in gaits of …