WiFi sensing with channel state information: A survey

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 …

Computer vision-based hand gesture recognition for human-robot interaction: a review

J Qi, L Ma, Z Cui, Y Yu - Complex & Intelligent Systems, 2024 - Springer
As robots have become more pervasive in our daily life, natural human-robot interaction
(HRI) has had a positive impact on the development of robotics. Thus, there has been …

Towards environment independent device free human activity recognition

W Jiang, C Miao, F Ma, S Yao, Y Wang… - Proceedings of the 24th …, 2018 - dl.acm.org
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 …

Free your CSI: A channel state information extraction platform for modern Wi-Fi chipsets

F Gringoli, M Schulz, J Link, M Hollick - Proceedings of the 13th …, 2019 - dl.acm.org
Modern wireless transmission systems heavily benefit from knowing the channel response.
The evaluation of Channel State Information (CSI) during the reception of a frame preamble …

Towards 3D human pose construction using WiFi

W Jiang, H Xue, C Miao, S Wang, S Lin, C Tian… - Proceedings of the 26th …, 2020 - dl.acm.org
This paper presents WiPose, the first 3D human pose construction framework using
commercial WiFi devices. From the pervasive WiFi signals, WiPose can reconstruct 3D …

SignFi: Sign language recognition using WiFi

Y Ma, G Zhou, S Wang, H Zhao, W Jung - Proceedings of the ACM on …, 2018 - dl.acm.org
We propose SignFi to recognize sign language gestures using WiFi. SignFi uses Channel
State Information (CSI) measured by WiFi packets as the input and a Convolutional Neural …

CrossSense: Towards cross-site and large-scale WiFi sensing

J Zhang, Z Tang, M Li, D Fang, P Nurmi… - Proceedings of the 24th …, 2018 - dl.acm.org
We present CrossSense, a novel system for scaling up WiFi sensing to new environments
and larger problems. To reduce the cost of sensing model training data collection …

Towards position-independent sensing for gesture recognition with Wi-Fi

R Gao, M Zhang, J Zhang, Y Li, E Yi, D Wu… - Proceedings of the …, 2021 - dl.acm.org
Past decades have witnessed the extension of the Wi-Fi signals as a useful tool sensing
human activities. One common assumption behind it is that there is a one-to-one mapping …

Sensing fine-grained hand activity with smartwatches

G Laput, C Harrison - Proceedings of the 2019 CHI Conference on …, 2019 - dl.acm.org
Capturing fine-grained hand activity could make computational experiences more powerful
and contextually aware. Indeed, philosopher Immanuel Kant argued," the hand is the visible …

Utilizing deep learning models in CSI-based human activity recognition

E Shalaby, N ElShennawy, A Sarhan - Neural Computing and Applications, 2022 - Springer
In recent years, channel state information (CSI) in WiFi 802.11 n has been increasingly used
to collect data pertaining to human activity. Such raw data are then used to enhance human …