A review of hand gesture and sign language recognition techniques
Hand gesture recognition serves as a key for overcoming many difficulties and providing
convenience for human life. The ability of machines to understand human activities and their …
convenience for human life. The ability of machines to understand human activities and their …
Wearables for running gait analysis: A systematic review
Background Running gait assessment has traditionally been performed using subjective
observation or expensive laboratory-based objective technologies, such as three …
observation or expensive laboratory-based objective technologies, such as three …
Vision-based human activity recognition: a survey
Human activity recognition (HAR) systems attempt to automatically identify and analyze
human activities using acquired information from various types of sensors. Although several …
human activities using acquired information from various types of sensors. Although several …
A flexible, stretchable and triboelectric smart sensor based on graphene oxide and polyacrylamide hydrogel for high precision gait recognition in Parkinsonian and …
Intelligent gait recognition system plays an important role in the field of identity recognition,
physical training and medical diagnostics. In clinical medicine, no definitive diagnostic tool …
physical training and medical diagnostics. In clinical medicine, no definitive diagnostic tool …
RGB-D-based human motion recognition with deep learning: A survey
Human motion recognition is one of the most important branches of human-centered
research activities. In recent years, motion recognition based on RGB-D data has attracted …
research activities. In recent years, motion recognition based on RGB-D data has attracted …
A review of human activity recognition methods
Recognizing human activities from video sequences or still images is a challenging task due
to problems, such as background clutter, partial occlusion, changes in scale, viewpoint …
to problems, such as background clutter, partial occlusion, changes in scale, viewpoint …
Tracking-learning-detection
This paper investigates long-term tracking of unknown objects in a video stream. The object
is defined by its location and extent in a single frame. In every frame that follows, the task is …
is defined by its location and extent in a single frame. In every frame that follows, the task is …
Deep learning for sign language recognition: Current techniques, benchmarks, and open issues
People with hearing impairments are found worldwide; therefore, the development of
effective local level sign language recognition (SLR) tools is essential. We conducted a …
effective local level sign language recognition (SLR) tools is essential. We conducted a …
Gait analysis using wearable sensors
W Tao, T Liu, R Zheng, H Feng - Sensors, 2012 - mdpi.com
Gait analysis using wearable sensors is an inexpensive, convenient, and efficient manner of
providing useful information for multiple health-related applications. As a clinical tool applied …
providing useful information for multiple health-related applications. As a clinical tool applied …
A triboelectric nanogenerator‐based smart insole for multifunctional gait monitoring
Accurately monitoring human gait is critical for health evaluation and/or early diagnosis,
especially for elder and injured people's healthcare. The presence of gait abnormalities …
especially for elder and injured people's healthcare. The presence of gait abnormalities …