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 …
Human activity recognition based on deep-temporal learning using convolution neural networks features and bidirectional gated recurrent unit with features selection
Recurrent Neural Networks (RNNs) and their variants have been demonstrated tremendous
successes in modeling sequential data such as audio processing, video processing, time …
successes in modeling sequential data such as audio processing, video processing, time …
A Survey of mmWave Radar-Based Sensing in Autonomous Vehicles, Smart Homes and Industry
Sensing technology plays a crucial role in bridging the physical and digital worlds. By
transforming a multitude of physical phenomena into digital data, it significantly enhances …
transforming a multitude of physical phenomena into digital data, it significantly enhances …
Milipoint: A point cloud dataset for mmwave radar
Millimetre-wave (mmWave) radar has emerged as an attractive and cost-effective alternative
for human activity sensing compared to traditional camera-based systems. mmWave radars …
for human activity sensing compared to traditional camera-based systems. mmWave radars …
Mm-fi: Multi-modal non-intrusive 4d human dataset for versatile wireless sensing
Abstract 4D human perception plays an essential role in a myriad of applications, such as
home automation and metaverse avatar simulation. However, existing solutions which …
home automation and metaverse avatar simulation. However, existing solutions which …
Dynamic Inertial Poser (DynaIP): Part-Based Motion Dynamics Learning for Enhanced Human Pose Estimation with Sparse Inertial Sensors
This paper introduces a novel human pose estimation approach using sparse inertial
sensors addressing the shortcomings of previous methods reliant on synthetic data. It …
sensors addressing the shortcomings of previous methods reliant on synthetic data. It …
Multi-Sensor-Based Action Monitoring and Recognition via Hybrid Descriptors and Logistic Regression
In the fields of body-worn sensors and computer vision, current research is being done to
track and detect falls and activities of daily living using the automatic recognition of human …
track and detect falls and activities of daily living using the automatic recognition of human …
Intelligent knee sleeves: a real-time multimodal dataset for 3D lower body motion estimation using smart textile
The kinematics of human movements and locomotion are closely linked to the activation and
contractions of muscles. To investigate this, we present a multimodal dataset with …
contractions of muscles. To investigate this, we present a multimodal dataset with …
Waffle: A Waterproof mmWave-based Human Sensing System inside Bathrooms with Running Water
The bathroom has consistently ranked among the most perilous rooms in households, with
slip and fall incidents during showers posing a critical threat, particularly to the elders. To …
slip and fall incidents during showers posing a critical threat, particularly to the elders. To …
RELI11D: A Comprehensive Multimodal Human Motion Dataset and Method
M Yan, Y Zhang, S Cai, S Fan, X Lin… - Proceedings of the …, 2024 - openaccess.thecvf.com
Comprehensive capturing of human motions requires both accurate captures of complex
poses and precise localization of the human within scenes. Most of the HPE datasets and …
poses and precise localization of the human within scenes. Most of the HPE datasets and …