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Estimating Lower Extremity Running Gait Kinematics with a Single Accelerometer: A Deep Learning Approach

Mohsen Gholami, Christopher Napier, Carlo Menon
2020 Sensors  
This study aims to validate a shoe-mounted accelerometer for sagittal plane lower extremity angle measurement during running based on a deep learning approach.  ...  This study highlights an appealing minimal sensor setup approach for gait analysis purposes.  ...  Mounting IMUs on the thigh and shank is less practical for runners, and IMUs mounted on the waist can be affected by the movements of both legs.  ... 
doi:10.3390/s20102939 pmid:32455927 fatcat:awyue3p4lrcmjau6v43hafnevy

Chasing Feet in the Wild: A Proposed Egocentric Motion-Aware Gait Assessment Tool [chapter]

Mina Nouredanesh, Aaron W. Li, Alan Godfrey, Jesse Hoey, James Tung
2019 Lecture Notes in Computer Science  
Despite advances in gait analysis tools, including optical motion capture and wireless electrophysiology, our understanding of human mobility is largely limited to controlled conditions in a clinic and  ...  This work advances our long-term objective to develop novel markerless models to extract spatiotemporal gait parameters, particularly step width, to complement existing inertial measurement unit (IMU)  ...  Body-worn IMUs have demonstrated excellent capabilities to measure temporal gait parameters.  ... 
doi:10.1007/978-3-030-11024-6_12 fatcat:xjit4sgkljbaplhfe5peaaf3hu

A Review of Gait Phase Detection Algorithms for Lower Limb Prostheses

Huong Thi Thu Vu, Dianbiao Dong, Hoang-Long Cao, Tom Verstraten, Dirk Lefeber, Bram Vanderborght, Joost Geeroms
2020 Sensors  
As the versatility but also the complexity of these robotic devices increases, the research on how to make gait detection algorithms more performant and their sensing devices smaller and more wearable  ...  Fast and accurate gait phase detection is essential to achieve effective powered lower-limb prostheses and exoskeletons.  ...  Measurements Based on IMU Signals The most effective methods to measure the gait phases and events use IMUs.  ... 
doi:10.3390/s20143972 pmid:32708924 fatcat:o5hewdjwg5d3nlfl2guxeg4ctu

Human Gait Analysis in Neurodegenerative Diseases: a Review

Grazia Cicirelli, Donato Impedovo, Vincenzo Dentamaro, Roberto Marani, Giuseppe Pirlo, Tiziana D'Orazio
2021 IEEE journal of biomedical and health informatics  
This paper reviews the recent literature on technologies and methodologies for quantitative human gait analysis in the context of neurodegnerative diseases.  ...  In this paper, sensors, features and processing methodologies have been reviewed in order to provide a highly consistent work that explores the issues related to gait analysis.  ...  Deep Learning Recently Deep Learning has received increasing attention in several pattern recognition domains and so in gait analysis.  ... 
doi:10.1109/jbhi.2021.3092875 pmid:34181559 fatcat:utltpuxydvglzpetlx32kt5zw4

Insole-Based Systems for Health Monitoring: Current Solutions and Research Challenges

Sophini Subramaniam, Sumit Majumder, Abu Ilius Faisal, M. Jamal Deen
2022 Sensors  
This manuscript provides a comprehensive review of insole-based sensor systems that measure a variety of parameters useful for overall health monitoring, with a focus on insole-based PPD measurement systems  ...  By developing a system that is capable of measuring parameters such as PPD, gait characteristics, foot temperature and heart rate, a holistic understanding of an individual's health and well-being can  ...  Another study identified gait cycle events such as swing and heel-strike based on ankle-mounted IMU data from treadmill usage [139] .  ... 
doi:10.3390/s22020438 pmid:35062398 pmcid:PMC8780030 fatcat:uhlqpgmhpncllijyuf34od5g3q

A Review on Accelerometry-Based Gait Analysis and Emerging Clinical Applications

Delaram Jarchi, James Pope, Tracey K. M. Lee, Larisa Tamjidi, Amirhosein Mirzaei, Saeid Sanei
2018 IEEE Reviews in Biomedical Engineering  
Then, we provide an extensive report of accelerometry based gait analysis systems and applications with additional emphasis on trunk accelerometry.  ...  The commonly used gait phases and parameters are enumerated. The details of extracting the papers for review are provided. We also review several gait analysis software.  ...  Real-time Detection of gait events (HS, TO) based on single accelerometer placed on the right lower leg considering different terrains has been performed using time-frequency analysis and Peak Heuristics  ... 
doi:10.1109/rbme.2018.2807182 pmid:29994786 fatcat:dt5xrebn4fa2xgrpekmiwo6eza

Just find it: The Mymo approach to recommend running shoes

Fraser Young, Graham Coulby, Ian Watson, Craig Downs, Samuel Stuart, Alan Godfrey
2020 IEEE Access  
INDEX TERMS Deep learning, gait analysis, foot pronation, IMU, running shoes. VOLUME 8, 2020 This work is licensed under a Creative Commons Attribution 4.0 License.  ...  Many technologies have been developed for accurate shoe recommendation, which centre on running gait analysis.  ...  DEEP LEARNING MODEL: SHOE FINDER The results of the feature extraction inform a custom ensemble deep learning model to classify the correct type of running shoe (neutral or support) based upon the runner's  ... 
doi:10.1109/access.2020.3002075 fatcat:dbk3jeex7fc2vfuwzkslzsjtha

Deep Learning Methods for Speed Estimation of Bipedal Motion from Wearable IMU Sensors

Josef Justa, Václav Šmídl, Aleš Hamáček
2022 Sensors  
In this paper, we test deep learning methods for the prediction of the motion speed from raw readings of a low-cost IMU sensor.  ...  The proposed architecture achieved the lowest average error on the test data. Analysis of sensor placement reveals that the best location for the sensor is the shoe.  ...  While the shoe mounted sensor is a traditional setup for feature-based methods, the deep-learning methods are predominantly trained on smartphone data in hand or pocket.  ... 
doi:10.3390/s22103865 pmid:35632274 pmcid:PMC9144294 fatcat:diwpykzbrzgvjlshyqarbdhrdi

Relying on more sense for enhancing lower limb prostheses control: a review

Michael Tschiedel, Michael Friedrich Russold, Eugenijus Kaniusas
2020 Journal of NeuroEngineering and Rehabilitation  
Based on the criteria for inclusion and exclusion, 32 papers were selected for the review analysis, 18 of those are related to explicit environmental sensing and 14 to implicit environmental sensing.  ...  Characteristics were discussed with a focus on update rate and resolution as well as on computing power and energy consumption.  ...  It "learns" to perform tasks using self-optimizing weights and biases throughout example-based learning.  ... 
doi:10.1186/s12984-020-00726-x pmid:32680530 fatcat:322obz6j35bb3pbzdtf6tfywka

Use of Wearable Sensor Technology in Gait, Balance, and Range of Motion Analysis

Steven Díaz, Jeannie B. Stephenson, Miguel A. Labrador
2019 Applied Sciences  
More than 8.6 million people suffer from neurological disorders that affect their gait and balance.  ...  Physical therapists provide interventions to improve patient's functional outcomes, yet balance and gait are often evaluated in a subjective and observational manner.  ...  the National Science Foundation under grants No. 1458928 and 1645025, An REU Site on Ubiquitous Sensing.  ... 
doi:10.3390/app10010234 fatcat:odh7kxyq4zh55afkl5bmfdybdi

Recent Trends and Practices Toward Assessment and Rehabilitation of Neurodegenerative Disorders: Insights From Human Gait

Ratan Das, Sudip Paul, Gajendra Kumar Mourya, Neelesh Kumar, Masaraf Hussain
2022 Frontiers in Neuroscience  
The review predominantly focuses on the application of inertial sensors toward various facets of gait analysis, including event detection, spatiotemporal gait parameter measurement, estimation of joint  ...  With advanced correlation algorithms and extensive RCTs, such measurement techniques can be an effective clinical and home-based monitoring and rehabilitation tool for neuro-impaired gait.  ...  ACKNOWLEDGMENTS We acknowledge the support of the Department of Biotechnology, and Department of Science and Technology, Government of India, for providing the fund to carry out the work through their  ... 
doi:10.3389/fnins.2022.859298 pmid:35495059 pmcid:PMC9051393 fatcat:zwz7n4oz3fhvnhi4n7ut6y5lai

Recognition of the Gait Phase Based on New Deep Learning Algorithm Using Multisensor Information Fusion

Fangzheng Wang, Lei Yan, Jiang Xiao
2019 Sensors and materials  
The new gait phase recognition algorithm is based on a deep memory convolutional neural network (DM-CNN) using multiple sensor fusion.  ...  We then tested the algorithm on the phases of a gait cycle and compared the evaluation indicators of each phase.  ...  (7) Lerner et al. and Torrealba et al. used the motion data of the human leg and knee angle acquired by the IMU sensor, and the gait phase was identified by a machine learning algorithm.  ... 
doi:10.18494/sam.2019.2493 fatcat:srt3xhuly5gbfm7xneq6zhesfy

A Review on Wearable Inertial Tracking based Human Gait Analysis and Control Strategies of Lower-Limb Exoskeletons

Sangram Redkar
2017 International Robotics & Automation Journal  
This paper surveys the role of inertial based systems in human gait analysis and lower limb exoskeleton control.  ...  It has high impact in the areas of human performance assessment and human-robot interaction as illustrated in gait analysis and assistive devices control.  ...  A mobile gait analysis system is designed on the shoes with IMUs mounted and presents a method to estimate spatial and temporal parameters in geriatric patients (Rampp et al. 2015) Figure 3 : 3 The exoskeleton's  ... 
doi:10.15406/iratj.2017.03.00080 fatcat:hhjsiebrxzbhxkaqmaxi6ohlly

Deep Learning for Monitoring of Human Gait: A Review

Abdullah S Alharthi, Syed U Yunas, Krikor B Ozanyan
2019 IEEE Sensors Journal  
The essential human gait parameters are briefly reviewed, followed by a detailed review of the state of the art in deep learning for the human gait analysis.  ...  The established artificial neural network architectures for deep learning are reviewed for each group, and their performance are compared with particular emphasis on the spatiotemporal character of gait  ...  [101] performed real-time gait-phase detection using one IMU sensor mounted on the shank to measure the absolute heading and angular velocity, as well as three foot-switches to label gait activities  ... 
doi:10.1109/jsen.2019.2928777 fatcat:seb7vcs77bae7ixbpkajo3ysee

Detection and assessment of Parkinson's disease based on gait analysis: A survey

Yao Guo, Jianxin Yang, Yuxuan Liu, Xun Chen, Guang-Zhong Yang
2022 Frontiers in Aging Neuroscience  
This review presents the evidence that demonstrates the relationship between human gait and PD, and illustrates the role of different gait analysis systems based on vision or wearable sensors.  ...  Finally, this review highlights some of the new opportunities in detecting, monitoring, and treating of PD based on gait, which could facilitate the development of objective gait-based biomarkers for personalized  ...  Yunbo Li and Miss Mengnan He for the contribution of literature search.  ... 
doi:10.3389/fnagi.2022.916971 fatcat:pmugk3unr5g3vktd4e5g73usza
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