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Keywords

• 3-D gait analysis
• aerobic
• agreement of measurements
• Analysis
• assessment
• Biomechanics
• clinical measurement
• Cycling
• data histogram
• decision tree
• diabetic foot
• distance estimation
• functional scales
• Gait
• gait analysis
• gait cycle
• gait disturbance
• gait parameters
• gait retraining
• gait speed
• ground reaction force
• hierarchical cluster analysis
• human running
• IMU
• Inertial measurement unit
• inertial sensor unit
• inertial sensors
• injury
• kinematics
• load monitoring
• loaded sprint
• Machine learning
• malleolar fractures
• markerless
• mobile power meter
• monitoring foot temperature
• muscle activation
• Music therapy
• on-ankle path loss
• orientation-invariant
• parkinson’s disease
• Performance
• Physiology
• portable gait rhythmogram
• Power
• principal component analysis
• random forest
• régression
• RSSI
• Running
• running biomechanics
• running conditions
• sensor fusion
• sled-push
• smart wearable
• spatiotemporal parameters
• step length estimation
• strike length estimation
• Stroke
• surface electromyography
• synergy
• team-sports
• Technology
• Technology, engineering, agriculture
• Technology: general issues
• Testing
• Training
• triathletes
• two-term Gaussian distribution
• VO2max
• Walking
• wearable
• Wearable Device
• wearable devices
• wearable sensor
• Wearables

Links

DOI: 10.3390/books978-3-0365-8643-4

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