Wearable motion sensors and artificial neural network for the estimation of vertical ground reaction forces in running.
Salvatore TedescoEduardo Pérez-ValeroDimitrios-Sokratis KomarisLuke JordanJohn BartonLiam HennessyBrendan O'FlynnPublished in: IEEE SENSORS (2020)
Keyphrases
- artificial neural networks
- sensor networks
- inverse dynamics
- wearable devices
- vision sensors
- optical flow estimation
- space time
- accelerometer data
- motion vector fields
- image sequences
- activity recognition
- rigid motion
- inertial sensors
- motion analysis
- motion model
- motion segmentation
- robot motion
- camera motion
- sensor data
- human motion
- wearable sensors
- optical flow
- moving objects
- estimation process
- force sensing
- estimation algorithm
- motion capture
- moving platform
- displacement estimation
- dynamic scenes
- estimation accuracy
- real time
- motion field
- data fusion
- back propagation
- motion tracking
- motion sequences
- humanoid robot
- multi sensor
- visual sensor
- ambient intelligence
- human computer interaction
- motion estimation
- wireless sensor networks
- neural network