Human–Computer Interfaces (HCI) deals with the study of interface between humans and
computers. The use of radar and other RF sensors to develop HCI based on Hand Gesture …

Digital twin can be defined as a virtual representation of a physical asset enabled through
data and simulators for real-time prediction, optimization, monitoring, controlling, and …

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 …

With advancements of wireless and sensing technologies, recent studies have
demonstrated technical feasibility and effectiveness of using acoustic signals for sensing. In …

This paper proposes a novel machine learning architecture, specifically designed for radio-
frequency based gesture recognition. We focus on high-frequency (60] GHz), short-range …

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 …

Indoor human tracking is fundamental to many real-world applications such as security
surveillance, behavioral analysis, and elderly care. Previous solutions usually require …

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 …

In this paper, we investigate the feasibility of recognizing human hand gestures using micro-
Doppler signatures measured by Doppler radar with a deep convolutional neural network …

We present WiGest: a system that leverages changes in WiFi signal strength to sense in-air
hand gestures around the user's mobile device. Compared to related work, WiGest is unique …