A survey of mmWave-based human sensing: Technology, platforms and applications
With the rapid development of the Internet of Things (IoT) and the rise of 5G communication
networks and automatic driving, millimeter wave (mmWave) sensing is emerging and starts …
networks and automatic driving, millimeter wave (mmWave) sensing is emerging and starts …
Flexible gesture input with radars: systematic literature review and taxonomy of radar sensing integration in ambient intelligence environments
We examine radar-based gesture input for interactive computer systems, a technology that
has recently grown in terms of commercial availability, affordability, and popularity among …
has recently grown in terms of commercial availability, affordability, and popularity among …
Towards domain-independent and real-time gesture recognition using mmwave signal
Human gesture recognition using millimeter-wave (mmWave) signals provides attractive
applications including smart home and in-car interfaces. While existing works achieve …
applications including smart home and in-car interfaces. While existing works achieve …
mmGesture: Semi-supervised gesture recognition system using mmWave radar
Gesture recognition has found versatile applications in natural human–computer interaction
(HCI). Compared with traditional camera-based or wearable sensors-based solutions …
(HCI). Compared with traditional camera-based or wearable sensors-based solutions …
Cubelearn: End-to-end learning for human motion recognition from raw mmwave radar signals
mmWave FMCW radar has attracted a huge amount of research interest for human-centered
applications in recent years, such as human gesture and activity recognition. Most existing …
applications in recent years, such as human gesture and activity recognition. Most existing …
Tesla-rapture: A lightweight gesture recognition system from mmwave radar sparse point clouds
We present Tesla-Rapture, a gesture recognition system for sparse point clouds generated
by mmWave Radars. State of the art gesture recognition models are either too resource …
by mmWave Radars. State of the art gesture recognition models are either too resource …
Hand gesture recognition for an off-the-shelf radar by electromagnetic modeling and inversion
Microwave radar sensors in human-computer interactions have several advantages
compared to wearable and image-based sensors, such as privacy preservation, high …
compared to wearable and image-based sensors, such as privacy preservation, high …
Wearsign: Pushing the limit of sign language translation using inertial and emg wearables
Sign language translation (SLT) is considered as the core technology to break the
communication barrier between the deaf and hearing people. However, most studies only …
communication barrier between the deaf and hearing people. However, most studies only …
Lt-fall: The design and implementation of a life-threatening fall detection and alarming system
Falls are the leading cause of fatal injuries to elders in modern society, which has motivated
researchers to propose various fall detection technologies. We observe that most of the …
researchers to propose various fall detection technologies. We observe that most of the …
Time-space dimension reduction of millimeter-wave radar point-clouds for smart-home hand-gesture recognition
This paper proposes a novel time-space dimension reduction method for millimeter-wave
radar point-clouds on long-distance or large-field-of-view hand-gesture recognition. First, a …
radar point-clouds on long-distance or large-field-of-view hand-gesture recognition. First, a …