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Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition
Sensors, 2016 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
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Wearable Computing for Health and Fitness: Exploring the Relationship between Data and Human Behaviour [PDF]
, 2016 Health and fitness wearable technology has recently advanced, making it easier for an individual to monitor their behaviours. Previously self generated data interacts with the user to motivate positive behaviour change, but issues arise when relating ...
Alomainy, Akram +3 more
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IEEE Access, 2019 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
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NanomaterialsOwing to their excellent elasticities and adaptability as sensing materials, ionic hydrogels exhibit significant promise in the field of intelligent wearable devices.
Chengfeng Chen +4 more
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Omni-/Unidirectional Dual-Mode Dual-Polarized Wearable Antenna for IoT Applications
IEEE Open Journal of Antennas and PropagationWearable antennas are essential for Internet of Things (IoT) devices, as their performance critically affects system reliability and functionality. Therefore, this paper proposes an omni-/unidirectional dual-mode, dual-polarized circular patch wearable ...
Guo-Ping Gao +4 more
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Wearable Fluidic Fabric with Excellent Heat Transfer Performance for Sports Recovery
Advanced ScienceRapid temperature contrast hydrotherapy by water immersion has been utilized by athletes for effective sports recovery. However, its application at some training or competition venues is limited by high water consumption, bucky size, personal hygiene ...
Jing Yang +8 more
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Smart Kote Glove for Assessment of Scoring Parameters of Dan and Kyu Grade Kendokas
Proceedings, 2018 Kendo is one of the most ancient swordsmanship arts in Japan. The aims of this study are to develop and test an innovative smart Kote glove for assisting the Kendoka to distinguish scoring from non-scoring Kote (wrist) strikes.
Kwangyul Jeong +2 more
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npj Flexible ElectronicsThe age and stroke-associated decline in musculoskeletal strength degrades the ability to perform daily human tasks using the upper extremities. Here, we introduce an intelligent upper-limb exoskeleton system that utilizes deep learning to predict human ...
Jinwoo Lee +16 more
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