Results 31 to 40 of about 7,517,973 (379)
Wearable sensors enable the real-time and non-invasive monitoring of biomechanical, physiological, or biochemical parameters pertinent to the performance of athletes.
Dhruv R. Seshadri +8 more
semanticscholar +1 more source
Colloid driven low supersaturation crystallization for atomically thin Bismuth halide perovskite
It is challenging to grow atomically thin non-van der Waals perovskite due to the strong electronic coupling between adjacent layers. Here, we present a colloid-driven low supersaturation crystallization strategy to grow atomically thin Cs3Bi2Br9.
Lutao Li +14 more
doaj +1 more source
Health and well-being implications surrounding the use of wearable GPS devices in professional rugby league: A Foucauldian disciplinary analysis of the normalised use of a common surveillance aid [PDF]
Wearable GPS tracking devices have become commonplace coaching aids across professional field sports to enhance sports performances and reduce injury rates, despite the implications of the technology being poorly understood.
Denison, Jim +2 more
core +1 more source
Light and flexible thermoelectric generators operating at room temperature are highly desirable for wearable microelectronics. Here, flexible thermoelectric composites comprising semiconducting Bi2Te3 particles and conductive polymers exhibit a high ...
Shuping Lin +10 more
doaj +1 more source
In the future, wearable technology will revolutionize the way we live. The current trend is to augment ordinary wearable objects – e.g. watches, glasses, bracelets, and clothing – with advanced information and communication technologies such as sensors, electronics, software, connectivity, and power sources.
Nicola Carbonaro, Alessandro Tognetti
openaire +3 more sources
The Emergence of AI-Based Wearable Sensors for Digital Health Technology: A Review
Disease diagnosis and monitoring using conventional healthcare services is typically expensive and has limited accuracy. Wearable health technology based on flexible electronics has gained tremendous attention in recent years for monitoring patient ...
S. Shajari +3 more
semanticscholar +1 more source
Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition
Human activity recognition (HAR) tasks have traditionally been solved using engineered features obtained by heuristic processes. Current research suggests that deep convolutional neural networks are suited to automate feature extraction from raw sensor ...
Francisco Javier Ordóñez +1 more
doaj +1 more source
Sonic City: Prototyping a wearable experience [PDF]
Sonic City is a project exploring mobile interaction and wearable technology for everyday music creation. A wearable system has been developed that creates electronic music in real-time based on sensing bodily and environmental factors - thus, a personal
Jacobs, M., Mazé, Ramia
core +2 more sources
Transportation and locomotion mode recognition from multimodal smartphone sensors is useful for providing just-in-time context-aware assistance. However, the field is currently held back by the lack of standardized datasets, recognition tasks, and ...
Lin Wang +5 more
doaj +1 more source
This is the post-print version of the article. The official published version can be accessed from the link below - Copyright @ 2009 Taylor & FrancisWearable computing devices worn on the body provide the potential for digital interaction in the world. A
Birringer, J, Danjoux, M
core +1 more source

