Results 51 to 60 of about 143,707 (286)
Gesture recognition through angle space [PDF]
As the notion of ubiquitous computing becomes a reality, the keyboard and mouse paradigm become less satisfactory as an input modality. The ability to interpret gestures can open another dimension in the user interface technology.
Dadgostar, F., Sarrafzadeh, A.
core
A dynamic model for real-time tracking of hands in bimanual movements [PDF]
The problem of hand tracking in the presence of occlusion is addressed. In bimanual movements the hands tend to be synchronised effortlessly. Different aspects of this synchronisation are the basis of our research to track the hands.
Shamaie, Atid, Sutherland, Alistair
core +2 more sources
Reciprocal control of viral infection and phosphoinositide dynamics
Phosphoinositides, although scarce, regulate key cellular processes, including membrane dynamics and signaling. Viruses exploit these lipids to support their entry, replication, assembly, and egress. The central role of phosphoinositides in infection highlights phosphoinositide metabolism as a promising antiviral target.
Marie Déborah Bancilhon, Bruno Mesmin
wiley +1 more source
Gestures Everywhere: A Multimodal Sensor Fusion and Analysis Framework for Pervasive Displays [PDF]
Gestures Everywhere is a dynamic framework for multimodal sensor fusion, pervasive analytics and gesture recognition. Our framework aggregates the real-time data from approximately 100 sensors that include RFID readers, depth cameras and RGB cameras ...
Aggarwal J. K. +6 more
core +2 more sources
By dawn or dusk—how circadian timing rewrites bacterial infection outcomes
The circadian clock shapes immune function, yet its influence on infection outcomes is only beginning to be understood. This review highlights how circadian timing alters host responses to the bacterial pathogens Salmonella enterica, Listeria monocytogenes, and Streptococcus pneumoniae revealing that the effectiveness of immune defense depends not only
Devons Mo +2 more
wiley +1 more source
Dynamic gesture recognition based on feature fusion network and variant ConvLSTM
Gesture is a natural form of human communication, and it is of great significance in human–computer interaction. In the dynamic gesture recognition method based on deep learning, the key is to obtain comprehensive gesture feature information.
Yuqing Peng +4 more
doaj +1 more source
Learning Deep and Compact Models for Gesture Recognition
We look at the problem of developing a compact and accurate model for gesture recognition from videos in a deep-learning framework. Towards this we propose a joint 3DCNN-LSTM model that is end-to-end trainable and is shown to be better suited to capture ...
Mullick, Koustav, Namboodiri, Anoop M.
core +1 more source
Gesture recognition implemented on a personal limited device [PDF]
For a biometrics system, one of the principal challenges is to protect the biometric reference template, as if a malicious individual is able to obtain this template, the genuine user would not be able to reuse the biometric for any application.
Cobourne, Sheila +3 more
core +1 more source
Molecular bases of circadian magnesium rhythms across eukaryotes
Circadian rhythms in intracellular [Mg2+] exist across eukaryotic kingdoms. Central roles for Mg2+ in metabolism suggest that Mg2+ rhythms could regulate daily cellular energy and metabolism. In this Perspective paper, we propose that ancestral prokaryotic transport proteins could be responsible for mediating Mg2+ rhythms and posit a feedback model ...
Helen K. Feord, Gerben van Ooijen
wiley +1 more source
Hand-raising gesture is one of the most popular signs of communication, whose frequency is related to the classroom’s atmosphere, the attractiveness of the subject, and the level of interactions between students and teachers.
Thu-Hien Le +8 more
doaj +1 more source

