Emerging wearable interfaces and algorithms for hand gesture recognition: A survey
Hands are vital in a wide range of fundamental daily activities, and neurological diseases
that impede hand function can significantly affect quality of life. Wearable hand gesture …
that impede hand function can significantly affect quality of life. Wearable hand gesture …
A review of hand gesture recognition systems based on noninvasive wearable sensors
R Tchantchane, H Zhou, S Zhang… - Advanced Intelligent …, 2023 - Wiley Online Library
Hand gesture, one of the essential ways for a human to convey information and express
intuitive intention, has a significant degree of differentiation, substantial flexibility, and high …
intuitive intention, has a significant degree of differentiation, substantial flexibility, and high …
Multi-features capacitive hand gesture recognition sensor: A machine learning approach
Gesture recognition technology enables machines to understand human gestures. The
technology is considered as a key enabler for gaming and virtual reality applications. In this …
technology is considered as a key enabler for gaming and virtual reality applications. In this …
A methodological and structural review of hand gesture recognition across diverse data modalities
Researchers have been develo** Hand Gesture Recognition (HGR) systems to enhance
natural, efficient, and authentic human-computer interaction, especially benefiting those who …
natural, efficient, and authentic human-computer interaction, especially benefiting those who …
Synthetic smartwatch imu data generation from in-the-wild asl videos
The scarcity of training data available for IMUs in wearables poses a serious challenge for
IMU-based American Sign Language (ASL) recognition. In this paper, we ask the following …
IMU-based American Sign Language (ASL) recognition. In this paper, we ask the following …
A multimodal multilevel converged attention network for hand gesture recognition with hybrid sEMG and A-mode ultrasound sensing
S Wei, Y Zhang, H Liu - IEEE transactions on cybernetics, 2022 - ieeexplore.ieee.org
Gesture recognition based on surface electromyography (sEMG) has been widely used in
the field of human–machine interaction (HMI). However, sEMG has limitations, such as low …
the field of human–machine interaction (HMI). However, sEMG has limitations, such as low …
Leveraging sound and wrist motion to detect activities of daily living with commodity smartwatches
Automatically recognizing a broad spectrum of human activities is key to realizing many
compelling applications in health, personal assistance, human-computer interaction and …
compelling applications in health, personal assistance, human-computer interaction and …
Wrist-worn hand gesture recognition while walking via transfer learning
Walking, one of the most common daily activities, causes unwanted movement artifacts
which can significantly deteriorate hand gesture recognition accuracy. However, traditional …
which can significantly deteriorate hand gesture recognition accuracy. However, traditional …
Ankle foot motion recognition based on wireless wearable sEMG and acceleration sensors for smart AFO
C Zhou, L Yang, H Liao, B Liang, X Ye - Sensors and Actuators A: Physical, 2021 - Elsevier
Ankle joint is one of the important anatomical structures of the human body, smart ankle-foot
orthosis (AFO) can assist human walking and improve the ankle motion for patients. This …
orthosis (AFO) can assist human walking and improve the ankle motion for patients. This …
FaceGuard: A wearable system to avoid face touching
Most people touch their faces unconsciously, for instance to scratch an itch or to rest one's
chin in their hands. To reduce the spread of the novel coronavirus (COVID-19), public health …
chin in their hands. To reduce the spread of the novel coronavirus (COVID-19), public health …