Human activity recognition using smartphones with WiFi signals
In this article, we present a work using a smartphone with an off-the-shelf WiFi router for
human activity recognition with various scales. The router serves as a hotspot for …
human activity recognition with various scales. The router serves as a hotspot for …
WiFi CSI gesture recognition based on parallel LSTM-FCN deep space-time neural network
Z Tang, Q Liu, M Wu, W Chen… - China …, 2021 - ieeexplore.ieee.org
In this study, we developed a system based on deep space-time neural networks for gesture
recognition. When users change or the number of gesture categories increases, the …
recognition. When users change or the number of gesture categories increases, the …
Wi-ATCN: Attentional temporal convolutional network for human action prediction using WiFi channel state information
A Zhu, Z Tang, Z Wang, Y Zhou… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
With the rapid development of wireless technologies, many researchers use WiFi signals for
human action recognition. Most of the previous methods are based on traditional machine …
human action recognition. Most of the previous methods are based on traditional machine …
Continuous arm gesture recognition based on natural features and logistic regression
In this paper, we propose a new gesture modeling method by combining natural features
with logistic regression to recognize continuous natural gestures, which is considered as a …
with logistic regression to recognize continuous natural gestures, which is considered as a …
Que-Fi: A Wi-Fi deep-learning-based queuing people counting
The ubiquitous commercial Wi-Fi has brought unlimited possibilities to the smart city and the
Internet of Things. Wi-Fi device-free sensing technology has received more and more …
Internet of Things. Wi-Fi device-free sensing technology has received more and more …
Fine-grained and real-time gesture recognition by using IMU sensors
Gesture recognition by using Inertial Measurement Unit (IMU) sensors plays an important
role in various Internet of Things (IOT) applications, eg, smart home, intelligent medical …
role in various Internet of Things (IOT) applications, eg, smart home, intelligent medical …
Toward device-free micro-gesture tracking via accurate acoustic doppler-shift detection
W Liu, W Shen, B Li, L Wang - IEEE Access, 2018 - ieeexplore.ieee.org
As a universal interaction method, hand and finger gestures can express people's intention
directly and clearly in daily life, and has been one of the hotspots in human–computer …
directly and clearly in daily life, and has been one of the hotspots in human–computer …
Object sensing for fruit ripeness detection using WiFi signals
S Tan, J Yang - arxiv preprint arxiv:2106.00860, 2021 - arxiv.org
This paper presents FruitSense, a novel fruit ripeness sensing system that leverages
wireless signals to enable non-destructive and low-cost detection of fruit ripeness. Such a …
wireless signals to enable non-destructive and low-cost detection of fruit ripeness. Such a …
Behavior recognition using multiple depth cameras based on a time-variant skeleton vector projection
User behavior recognition in a smart office environment is a challenging research task.
Wearable sensors can be used to recognize behaviors, but such sensors could go unworn …
Wearable sensors can be used to recognize behaviors, but such sensors could go unworn …
RoGER: Few-shot Learning Based Robust Gesture Recognition with Multi-modal Wi-Fi CSI Measurements
Wi-Fi based gesture recognition has raised emerging interest recently due to its high
identification accuracy and low-hardware cost. However, its application is impeded by the …
identification accuracy and low-hardware cost. However, its application is impeded by the …