Self-powered gesture recognition wristband enabled by machine learning for full keyboard and multi-command input.
Sign Up to like & getrecommendations! Published in 2022 at "Advanced materials"
DOI: 10.1002/adma.202200793
Abstract: Virtual reality is a brand new technology that can be applied extensively. To realize virtual reality, certain types of humanâ€computer interaction equipment are necessary. Existing virtual reality technologies often rely on cameras, data gloves, game… read more here.
Keywords: recognition wristband; virtual reality; command; gesture recognition ... See more keywords
Closely Packed Stretchable Ultrasound Array Fabricated with Surface Charge Engineering for Contactless Gesture and Materials Detection
Sign Up to like & getrecommendations! Published in 2024 at "Advanced Science"
DOI: 10.1002/advs.202303403
Abstract: Communication with hand gestures plays a significant role in human‐computer interaction by providing an intuitive and natural way for humans to communicate with machines. Ultrasound‐based devices have shown promising results in contactless hand gesture recognition… read more here.
Keywords: surface charge; closely packed; gesture; array ... See more keywords
Connecting primate gesture to the evolutionary roots of language: A systematic review
Sign Up to like & getrecommendations! Published in 2021 at "American Journal of Primatology"
DOI: 10.1002/ajp.23313
Abstract: Comparative psychology provides important contributions to our understanding of the origins of human language. The presence of common features in human and nonhuman primate communication can be used to suggest the evolutionary trajectories of potential… read more here.
Keywords: human nonhuman; systematic review; evolutionary roots; gesture ... See more keywords
Research on key issues of gesture recognition for artificial intelligence
Sign Up to like & getrecommendations! Published in 2020 at "Soft Computing"
DOI: 10.1007/s00500-019-04342-3
Abstract: Gesture recognition has become a hot spot in the direction of artificial intelligence and has great research significance. At present, some classical algorithms, such as the neural network method and the hidden Markov method, have… read more here.
Keywords: research; gesture recognition; gesture; recognition ... See more keywords
A design on recommendations of sensor development platforms with different sensor modalities for making gesture biometrics-based service applications of the specific group
Sign Up to like & getrecommendations! Published in 2019 at "Microsystem Technologies"
DOI: 10.1007/s00542-019-04503-2
Abstract: Gesture biometrics sensors will be extremely helpful for constructing a gesture-based application system. Compared with traditional acoustic sensor-based speech recognition applications and RGB image sensor-based surveillance applications, proper utilizations of the gesture biometrics sensor will… read more here.
Keywords: system; application; gesture; gesture biometrics ... See more keywords
Continuous touch gesture recognition based on RNNs for capacitive proximity sensors
Sign Up to like & getrecommendations! Published in 2020 at "Personal and Ubiquitous Computing"
DOI: 10.1007/s00779-020-01472-6
Abstract: The use of capacitive sensors in the automotive context opens new possibilities in the development of new interfaces for machine interaction with the vehicle occupants. Large smart surfaces with gesture recognition will possibly be part… read more here.
Keywords: recognition based; gesture recognition; gesture; touch gesture ... See more keywords
JSE: Joint Semantic Encoder for zero-shot gesture learning
Sign Up to like & getrecommendations! Published in 2021 at "Pattern Analysis and Applications"
DOI: 10.1007/s10044-021-00992-y
Abstract: Zero-shot learning (ZSL) is a transfer learning paradigm that aims to recognize unseen categories just by having a high-level description of them. While deep learning has greatly pushed the limits of ZSL for object classification,… read more here.
Keywords: semantic encoder; encoder; joint semantic; zero shot ... See more keywords
RD-Hand: a real-time regression-based detector for dynamic hand gesture
Sign Up to like & getrecommendations! Published in 2022 at "Applied Intelligence"
DOI: 10.1007/s10489-021-02380-9
Abstract: Existing gesture-recognition methods have poor performance on the mobile terminal, because of their limited computing resources and noisy environments such as Spatio-temporal variations and light variations. In this paper, we first draw the idea of… read more here.
Keywords: regression; regression based; time; hand ... See more keywords
From Hands to Mind: How Gesture, Emotional Valence, and Individual Differences Impact Narrative Recall
Sign Up to like & getrecommendations! Published in 2024 at "Educational Psychology Review"
DOI: 10.1007/s10648-024-09948-0
Abstract: Narrative recall and comprehension are important lifelong skills. While gesturing may improve recall by alleviating cognitive load, it may be differentially beneficial, depending on task and individual characteristics. While research on gesture’s effects on a… read more here.
Keywords: gesture; recall; narrative recall; valence individual ... See more keywords
Dynamic hand gesture recognition using motion pattern and shape descriptors
Sign Up to like & getrecommendations! Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-6553-9
Abstract: The key problems of dynamic hand gesture recognition are large intra-class (gesture types, without considering hand configuration) spatial-temporal variability and similar inter-class (gesture types, only considering hand configuration) motion pattern. Firstly, for intra-class spatial-temporal variability,… read more here.
Keywords: motion; shape; gesture; hand ... See more keywords
Gesture image segmentation with Otsu’s method based on noise adaptive angle threshold
Sign Up to like & getrecommendations! Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-08544-7
Abstract: By analyzing the essence and deficiency of the improved Otsu’s method, this paper proposes a noise adaptive angle threshold based Otsu’s method for gesture image segmentation. It first designs a two-dimensional histogram of gray value-neighborhood… read more here.
Keywords: angle; threshold; gesture; method ... See more keywords