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 …
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
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 …
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
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 …
gesture recognition via Doppler signature analysis is proposed. The raw reflected signal …
Hand gesture classification using a novel CNN-crow search algorithm
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 …
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
" 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 …
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
Millimeter-wave (mmW) radars are being increasingly integrated into commercial vehicles to
support new advanced driver-assistance systems (ADAS) by enabling robust and high …
support new advanced driver-assistance systems (ADAS) by enabling robust and high …
Machine learning‐reinforced noninvasive biosensors for healthcare
The emergence and development of noninvasive biosensors largely facilitate the collection
of physiological signals and the processing of health‐related data. The utilization of …
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
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 …
computer interaction (HCI) via gestures is becoming more common in the modern era. To …
Survey On Recognition Hand Gesture By Using Data Mining Algorithms
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 …
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 …
years. This paper proposed a novel deep learning model for HAR using inertial sensors …