Related references
Note: Only part of the references are listed.The Gaitprint: Identifying Individuals by Their Running Style
Christian Weich et al.
SENSORS (2020)
Explaining the unique nature of individual gait patterns with deep learning
Fabian Horst et al.
SCIENTIFIC REPORTS (2019)
Analysis of Big Data in Gait Biomechanics: Current Trends and Future Directions
Angkoon Phinyomark et al.
JOURNAL OF MEDICAL AND BIOLOGICAL ENGINEERING (2018)
Machine learning in human movement biomechanics: Best practices, common pitfalls, and new opportunities
Eni Halilaj et al.
JOURNAL OF BIOMECHANICS (2018)
Running injuries in novice runners enrolled in different training interventions: a pilot randomized controlled trial
J. Baltich et al.
SCANDINAVIAN JOURNAL OF MEDICINE & SCIENCE IN SPORTS (2017)
One-year persistence of individual gait patterns identified in a follow-up study - A call for individualised diagnose and therapy
F. Horst et al.
GAIT & POSTURE (2017)
The Preferred Movement Path Paradigm: Influence of Running Shoes on Joint Movement
Benno M. Nigg et al.
MEDICINE AND SCIENCE IN SPORTS AND EXERCISE (2017)
Explaining nonlinear classification decisions with deep Taylor decomposition
Gregoire Montavon et al.
PATTERN RECOGNITION (2017)
What is relevant in a text document?: An interpretable machine learning approach
Leila Arras et al.
PLOS ONE (2017)
IMU-Based Gait Recognition Using Convolutional Neural Networks and Multi-Sensor Fusion
Omid Dehzangi et al.
SENSORS (2017)
Towards better analysis of machine learning models: A visual analytics perspective
Shixia Liu et al.
VISUAL INFORMATICS (2017)
Daily changes of individual gait patterns identified by means of support vector machines
F. Horst et al.
GAIT & POSTURE (2016)
Biomechanical Differences of Foot-Strike Patterns During Running: A Systematic Review With Meta-analysis
Matheus O. Almeida et al.
JOURNAL OF ORTHOPAEDIC & SPORTS PHYSICAL THERAPY (2015)
On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation
Sebastian Bach et al.
PLOS ONE (2015)
The effects of isolated ankle strengthening and functional balance training on strength, running mechanics, postural control and injury prevention in novice runners: design of a randomized controlled trial
Jennifer Baltich et al.
BMC MUSCULOSKELETAL DISORDERS (2014)
Marker-based classification of youngelderly gait pattern differences via direct PCA feature extraction and SVMs
Bjoern M. Eskofier et al.
COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING (2013)
Gait recognition: highly unique dynamic plantar pressure patterns among 104 individuals
Todd C. Pataky et al.
JOURNAL OF THE ROYAL SOCIETY INTERFACE (2012)
Human Recognition Based on Kinematics and Kinetics of Gait
Yu-Chih Lin et al.
JOURNAL OF MEDICAL AND BIOLOGICAL ENGINEERING (2011)
Infrared gait recognition based on wavelet transform and support vector machine
Zhaojun Xue et al.
PATTERN RECOGNITION (2010)
Recognition of emotions in gait patterns by means of artificial neural nets
Daniel Janssen et al.
JOURNAL OF NONVERBAL BEHAVIOR (2008)
Identification of individual walking patterns using time discrete and time continuous data sets
WI Schöllhorn et al.
GAIT & POSTURE (2002)
A review of analytical techniques for gait data. Part 2: neural network and wavelet methods
T Chau
GAIT & POSTURE (2001)
Intensity analysis in time-frequency space of surface myoelectric signals by wavelets of specified resolution
V von Tscharner
JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY (2000)
Share Paper
