Human-machine interaction sensing technology based on hand gesture recognition: A review

L Guo, Z Lu, L Yao - IEEE Transactions on Human-Machine …, 2021 - ieeexplore.ieee.org
Human machine interaction (HMI) is an interactive way of information exchange between
human and machine. By collecting the information that can be conveyed by the person to …

Hand gestures recognition using radar sensors for human-computer-interaction: A review

S Ahmed, KD Kallu, S Ahmed, SH Cho - Remote Sensing, 2021 - mdpi.com
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 …

Hand gesture recognition via radar sensors and convolutional neural networks

S Franceschini, M Ambrosanio, S Vitale… - 2020 IEEE Radar …, 2020 - ieeexplore.ieee.org
In this communication, a low-cost radar-sensor-based apparatus for contactless hand
gesture recognition via Doppler signature analysis is proposed. The raw reflected signal …

Hand gesture classification using a novel CNN-crow search algorithm

TR Gadekallu, M Alazab, R Kaluri… - Complex & Intelligent …, 2021 - Springer
Human–computer interaction (HCI) and related technologies focus on the implementation of
interactive computational systems. The studies in HCI emphasize on system use, creation of …

Real-time arm gesture recognition in smart home scenarios via millimeter wave sensing

H Liu, Y Wang, A Zhou, H He, W Wang… - Proceedings of the …, 2020 - dl.acm.org
" In air" gesture recognition using millimeter wave (mmWave) radar and its applications in
natural human-computer-interaction for smart home has shown its potential. However, the …

Ramp-cnn: A novel neural network for enhanced automotive radar object recognition

X Gao, G **ng, S Roy, H Liu - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
Millimeter-wave (mmW) radars are being increasingly integrated into commercial vehicles to
support new advanced driver-assistance systems (ADAS) by enabling robust and high …

Machine learning‐reinforced noninvasive biosensors for healthcare

K Zhang, J Wang, T Liu, Y Luo, XJ Loh… - Advanced Healthcare …, 2021 - Wiley Online Library
The emergence and development of noninvasive biosensors largely facilitate the collection
of physiological signals and the processing of health‐related data. The utilization of …

Smart Home Automation-Based Hand Gesture Recognition Using Feature Fusion and Recurrent Neural Network

BI Alabdullah, H Ansar, NA Mudawi, A Alazeb… - Sensors, 2023 - mdpi.com
Gestures have been used for nonverbal communication for a long time, but human–
computer interaction (HCI) via gestures is becoming more common in the modern era. To …

Survey On Recognition Hand Gesture By Using Data Mining Algorithms

LI Khalaf, SA Aswad, SR Ahmed… - … Congress on Human …, 2022 - ieeexplore.ieee.org
We investigated the usage of hand motion recognition using data mining approaches. In
gesture detection applications, I've discovered that employing data mining to recognize …

A novel deep learning Bi-GRU-I model for real-time human activity recognition using inertial sensors

L Tong, H Ma, Q Lin, J He, L Peng - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Wearable sensor based Human Activity Recognition (HAR) has been widely used these
years. This paper proposed a novel deep learning model for HAR using inertial sensors …