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In-vehicle monitoring by radar: A review
The proliferation of vehicles and a subsequent increase in traffic accidents have led to a
heightened focus on driving safety. As a result, various researchers have been examining …
heightened focus on driving safety. As a result, various researchers have been examining …
High‐accuracy dynamic gesture recognition: A universal and self‐adaptive deep‐learning‐assisted system leveraging high‐performance ionogels‐based strain …
Y Sun, J Huang, Y Cheng, J Zhang, Y Shi, L Pan - SmartMat, 2024 - Wiley Online Library
Gesture recognition utilizing flexible strain sensors is a highly valuable technology widely
applied in human–machine interfaces. However, achieving rapid detection of subtle motions …
applied in human–machine interfaces. However, achieving rapid detection of subtle motions …
Dcs-ctn: Subtle gesture recognition based on td-cnn-transformer via millimeter-wave radar
Gesture recognition has been a hot research topic in human–computer interaction, since
contactless gesture recognition will provide increasing applications in many fields. Millimeter …
contactless gesture recognition will provide increasing applications in many fields. Millimeter …
[HTML][HTML] Dynamic hand gesture recognition in in-vehicle environment based on FMCW radar and transformer
L Zheng, J Bai, X Zhu, L Huang, C Shan, Q Wu… - Sensors, 2021 - mdpi.com
Hand gesture recognition technology plays an important role in human-computer interaction
and in-vehicle entertainment. Under in-vehicle conditions, it is a great challenge to design …
and in-vehicle entertainment. Under in-vehicle conditions, it is a great challenge to design …
Finger-gesture recognition for visible light communication systems using machine learning
J Webber, A Mehbodniya, R Teng, A Arafa… - Applied Sciences, 2021 - mdpi.com
Gesture recognition (GR) has many applications for human-computer interaction (HCI) in the
healthcare, home, and business arenas. However, the common techniques to realize …
healthcare, home, and business arenas. However, the common techniques to realize …
Static hand gesture recognition using capacitive sensing and machine learning
Automated hand gesture recognition is a key enabler of Human-to-Machine Interfaces
(HMIs) and smart living. This paper reports the development and testing of a static hand …
(HMIs) and smart living. This paper reports the development and testing of a static hand …
Hand gesture recognition: a contemporary overview of techniques
S Tulli, MK Virdi, A Misra… - … on Automation and …, 2024 - ieeexplore.ieee.org
Hand gesture recognition (HGR) is a powerful means of communication, especially for
individuals facing challenges related to hearing loss and speech impediments. According to …
individuals facing challenges related to hearing loss and speech impediments. According to …
Human–Machine interaction using probabilistic neural network for light communication systems
J Webber, A Mehbodniya, R Teng, A Arafa - Electronics, 2022 - mdpi.com
Hand gestures are a natural and efficient means to control systems and are one of the
promising but challenging areas of human–machine interaction (HMI). We propose a system …
promising but challenging areas of human–machine interaction (HMI). We propose a system …
[HTML][HTML] Gesture Recognition and Hand Tracking for Anti-Counterfeit Palmvein Recognition
At present, COVID-19 is posing a serious threat to global human health. The features of
hand veins in infrared environments have many advantages, including non-contact …
hand veins in infrared environments have many advantages, including non-contact …
OmniRace: 6D Hand Pose Estimation for Intuitive Guidance of Racing Drone
This paper presents the OmniRace approach to controlling a racing drone with 6-degree of
freedom (DoF) hand pose estimation and gesture recognition. To our knowledge, this is the …
freedom (DoF) hand pose estimation and gesture recognition. To our knowledge, this is the …