Explaining the Unique Nature of Individual Gait Patterns with Deep Learning

13 August 2018

Papers citing "Explaining the Unique Nature of Individual Gait Patterns with Deep Learning"

24 / 24 papers shown

Title
Machine Learning in Biomechanics: Key Applications and Limitations in Walking, Running, and Sports Movements Carlo Dindorf Fabian Horst D. Slijepcevic Bernhard Dumphart Jonas Dully Matthias Zeppelzauer B. Horsak Michael Fröhlich 60 1 0 05 Mar 2025
Pantomime: Towards the Anonymization of Motion Data using Foundation Motion Models Simon Hanisch Julian Todt Thorsten Strufe 34 0 0 13 Jan 2025
Marker-free Human Gait Analysis using a Smart Edge Sensor System Eva Katharina Bauer S. Bultmann Sven Behnke 39 0 0 14 Nov 2024
The Role of Explainable AI in Revolutionizing Human Health Monitoring: A Review Abdullah Alharthi Ahmed Alqurashi Turki Alharbi Mohammed Alammar Nasser Aldosari Houssem Bouchekara Yusuf Shaaban Mohammad Shoaib Shahriar Abdulrahman Al Ayidh 42 0 0 11 Sep 2024
Value Prediction for Spatiotemporal Gait Data Using Deep Learning Ryan Cavanagh Jelena Trajkovic Wenlu Zhang I-Hung Khoo Vennila Krishnan CVBM 25 0 0 29 Feb 2024
A Framework For Gait-Based User Demography Estimation Using Inertial Sensors C. Swami 35 1 0 15 Feb 2024
Explaining Deep Learning Models for Age-related Gait Classification based on time series acceleration Xiaoping Zheng Bert Otten M. Reneman Claudine JC. Lamoth 13 4 0 20 Nov 2023
Explainable AI and Machine Learning Towards Human Gait Deterioration Analysis Abdullah Alharthi 21 0 0 12 Jun 2023
A False Sense of Privacy: Towards a Reliable Evaluation Methodology for the Anonymization of Biometric Data Simon Hanisch Julian Todt J. Patino Nicholas W. D. Evans Thorsten Strufe CVBM 31 5 0 04 Apr 2023
Multi-Channel Time-Series Person and Soft-Biometric Identification Nilah Ravi Nair Fernando Moya Rueda Christopher Reining Gernot A. Fink 26 3 0 04 Apr 2023
Don't Get Me Wrong: How to Apply Deep Visual Interpretations to Time Series Christoffer Loeffler Wei-Cheng Lai Bjoern M. Eskofier Dario Zanca Lukas M. Schmidt Christopher Mutschler FAtt AI4TS 35 5 0 14 Mar 2022
Understanding Person Identification through Gait Simon Hanisch Evelyn Muschter Admantini Hatzipanayioti Shu-Chen Li Thorsten Strufe CVBM 18 11 0 08 Mar 2022
Automated freezing of gait assessment with marker-based motion capture and multi-stage spatial-temporal graph convolutional neural networks Benjamin Filtjens Pieter Ginis A. Nieuwboer P. Slaets Bart Vanrumste 12 19 0 29 Mar 2021
Interpretable Deep Learning for the Remote Characterisation of Ambulation in Multiple Sclerosis using Smartphones Andrew P. Creagh F. Lipsmeier M. Lindemann M. D. Vos 24 17 0 16 Mar 2021
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications Wojciech Samek G. Montavon Sebastian Lapuschkin Christopher J. Anders K. Müller XAI 44 82 0 17 Mar 2020
Ground Truth Evaluation of Neural Network Explanations with CLEVR-XAI L. Arras Ahmed Osman Wojciech Samek XAI AAML 21 150 0 16 Mar 2020
On the Explanation of Machine Learning Predictions in Clinical Gait Analysis D. Slijepcevic Fabian Horst Sebastian Lapuschkin Anna-Maria Raberger Matthias Zeppelzauer Wojciech Samek C. Breiteneder W. Schöllhorn B. Horsak 36 50 0 16 Dec 2019
Towards Best Practice in Explaining Neural Network Decisions with LRP M. Kohlbrenner Alexander Bauer Shinichi Nakajima Alexander Binder Wojciech Samek Sebastian Lapuschkin 22 148 0 22 Oct 2019
Towards Explainable Artificial Intelligence Wojciech Samek K. Müller XAI 32 436 0 26 Sep 2019
Explaining and Interpreting LSTMs L. Arras Jose A. Arjona-Medina Michael Widrich G. Montavon Michael Gillhofer K. Müller Sepp Hochreiter Wojciech Samek FAtt AI4TS 21 79 0 25 Sep 2019
From Clustering to Cluster Explanations via Neural Networks Jacob R. Kauffmann Malte Esders Lukas Ruff G. Montavon Wojciech Samek K. Müller 24 68 0 18 Jun 2019
Unmasking Clever Hans Predictors and Assessing What Machines Really Learn Sebastian Lapuschkin S. Wäldchen Alexander Binder G. Montavon Wojciech Samek K. Müller 17 996 0 26 Feb 2019
Methods for Interpreting and Understanding Deep Neural Networks G. Montavon Wojciech Samek K. Müller FaML 234 2,238 0 24 Jun 2017
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 255 13,364 0 25 Aug 2014