Cross-leg prediction of running kinematics across various running conditions and drawing from a minimal data set using a single wearable sensor

Keyphrases

• Limited Datasets 100%
• Wearable Sensors 100%
• Running Kinematics 100%
• Running Condition 100%
• Cross-leg 100%
• Treadmill Running 50%
• Inertial Measurement Unit 33%
• Same Limb 33%
• Limb Kinematics 33%
• Deep Learning 16%
• Prediction Accuracy 16%
• Training Data 16%
• Machine Learning 16%
• Lower Extremity 16%
• Level Ground 16%
• Running Exercise 16%
• Recreational Runners 16%
• Tibia 16%
• Limited Training Data 16%
• Small Dataset 16%
• R2 Value 16%
• Convolutional Neural Network Model 16%
• Kinematics Prediction 16%
• Preferred Speed 16%
• Novel Deep Learning Methods 16%

Computer Science

• Measurement Unit 100%
• Machine Learning 50%
• Prediction Accuracy 50%
• Convolutional Neural Network 50%
• Small Data Set 50%
• Neural Network Model 50%
• Training Dataset 50%
• Deep Learning 50%

Engineering

• Wearable Sensor 100%
• Running Condition 100%
• Units of Measurement 40%
• Inertial Measurement 40%
• Deep Learning 20%
• Optimal Condition 20%
• Ground Level 20%
• Network Model 20%
• Convolutional Neural Network 20%