Titlebook: Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Human Bod; 10th International C Vincent G. Duffy

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書目名稱Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Human Bod影響因子(影響力)




書目名稱Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Human Bod影響因子(影響力)學(xué)科排名




書目名稱Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Human Bod網(wǎng)絡(luò)公開度




書目名稱Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Human Bod網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Human Bod被引頻次




書目名稱Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Human Bod被引頻次學(xué)科排名




書目名稱Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Human Bod年度引用




書目名稱Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Human Bod年度引用學(xué)科排名




書目名稱Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Human Bod讀者反饋




書目名稱Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Human Bod讀者反饋學(xué)科排名

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Design and Evaluation of the System Device for Mitigation of the Low Back Pain Among Veterinariansegins with the posture state of the veterinary surgery, where biomechanics and physiological anatomy are used to target the interaction of the lower back and shoulder flexion angles during the operation of the veterinarian, and to consider the results of the blood flow when the muscles are tight. Th

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Size North America – The New North American Anthropometric Surveysurveyed across the USA. A data pool of 57,840 whole body scans, far more than double the number of scans compared to any other survey. These representative results form the basis for an up-to-date anthropometry database including a secular growth prognosis model which will last until 2040. All data

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Exploring the Feasibility of Classifying Fundamental Locomotor Skills Using an Instrumented Insole a Environment (IDE). An artificial neural network (ANN) training and real-time classification software was written in Arduino IDE and downloaded onto the Arduino 101’s non-volatile memory. The ANN used pressure and time derivative data from a dual sensor array and was tested with various statistical

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Classifying Non-elementary Movements in Vietnamese M? Dancesovements with complete meaning and illustrated using M? dances. The classification result is the initial dataset VDM ontology augmented with class descriptions of non-elementary movements, which can be queried using the query language SQWRL (Semantic Query Web-enhanced Rule Language).

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Periodicity Detection of Quasi-Periodic Slow-Speed Gait Signal Using IMU Sensorequinus gait data in experimental analysis. Three participants walked normally, two participants simulated walking with equinus on the right leg, and two participants simulated walking with equinus on both legs. We have used two Sparkfun 9DoF Razor Inertial Measurement Unit (IMU) sensors having samp

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Machine Learning to Estimate the Amount of Training to Learn a Motor Skillrated that there was motor learning, as well as that is possible to apply classification models to predict the block of the subject with decision tree achieving statistically significant (p-value .) best predictions. The proposed approach may be useful for health professionals when estimating the am

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