Results 21 to 30 of about 473,597 (314)
This paper describes the application of micro-Doppler radar (MDR) to gait classification based on fall risk-related differences using deep learning and gait parameter-based approaches.
Kenshi Saho +3 more
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This study used an equivalent circuit model to collectively analyze the oscillation phenomena inside a piezo-inkjet printhead as an electrical oscillation.
Yasunori Yoshida +2 more
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Identifying the characteristics of fallers is important for preventing falls because such events may reduce quality of life. It has been reported that several variables related to foot positions and angles during gait (e.g., sagittal foot angle and ...
Takuma Inai +11 more
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Augmentation of Nutrition by Nanotechnology
Nowadays, nanotechnology, by its helpful application to the food industry, has found ways for improving the health of both humans and animals. From all their benefits, we can selectively mention that nanoparticles provide antimicrobial activities and ...
Sonea, Cosmin +5 more
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Janus regulation of ice growth by hyperbranched polyglycerols generating dynamic hydrogen bonding
Regulation of ice growth and ice growth inhibition are critical and different materials mimicking anti freeze proteins or ice binding surfaces have been developed. Here, the authors combine both concepts in a hyperbranched polyglycerols to change the ice
Sang Yup Lee +6 more
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In a previous study, we developed a classification model to detect fall risk for elderly adults with a history of falls (fallers) using micro-Doppler radar (MDR) gait measurements via simulation.
Kenshi Saho +3 more
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Deep-learning-based gait classification of young and elderly adults using micro-Doppler radar (MDR) is presented in this paper. The MDR signal data were accurately simulated using an open motion-capture gait dataset, and deep-learning classification of ...
Toshiyuki Hoshiga +4 more
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Unsupervised Sim-to-Real Adaptation for Environmental Recognition in Assistive Walking
Powered lower-limb prostheses with vision sensors are expected to restore amputees’ mobility in various environments with supervised learning-based environmental recognition. Due to the sim-to-real gap, such as real-world unstructured terrains and
Chuheng Chen +4 more
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Nanomaterial-based humidity sensors hold great promise for water vapor detection because of their high sensitivity and fast response/recovery. However, the condensation of water in nanomaterial films remains unclear from a physicochemical perspective ...
Shinya Kano +3 more
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Fuzzy inference systems have been widely applied in robotic control. Previous studies proposed various methods to tune the fuzzy rules and the parameters of the membership functions (MFs).
Xinxing Chen +5 more
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