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Foot Plantar Pressure Estimation Using Artificial Neural Networks [chapter]

Elias Xidias, Zoi Koutkalaki, Panagiotis Papagiannis, Paraskevas Papanikos, Philip Azariadis
2016 IFIP Advances in Information and Communication Technology  
This research has been co-financed by the European Union (European Social Fund -ESF) and Greek national funds through the Operational Program "Education and Lifelong Learning" of the National Strategic  ...  In this study, an Artificial Neural Network (ANN) is introduced to estimate the maximum plantar pressure on the foot surface exerted by the sole structure for each one of the three main phases of gait  ...  A recent work related to the use of ANNs in footwear comfort can be found in [14] , where an ANN is developed to estimate the dorsal pressures of the foot surface while walking.  ... 
doi:10.1007/978-3-319-33111-9_3 fatcat:7ymvcc3v5jhzna576glwjlg3zu

Closing the Wearable Gap—Part VI: Human Gait Recognition Using Deep Learning Methodologies

Samaneh Davarzani, David Saucier, Preston Peranich, Will Carroll, Alana Turner, Erin Parker, Carver Middleton, Phuoc Nguyen, Preston Robertson, Brian Smith, John Ball, Reuben Burch (+4 others)
2020 Electronics  
The capacitance of SRS related to foot-ankle basic movements was quantified during the gait movements of 20 participants on a flat surface as well as a cross-sloped surface.  ...  Three different approaches were employed to quantify the relationship between the SRS and the 3D motion capture system, including multivariable linear regression, an artificial neural network (ANN), and  ...  Acknowledgments: We thank the anonymous reviewers for their helpful suggestions for improving the paper. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/electronics9050796 fatcat:qka5cnlojbhj5lqrmp2e4a3e4q

Wearable Devices for Gait Analysis in Intelligent Healthcare

Xin Liu, Chen Zhao, Bin Zheng, Qinwei Guo, Xiaoqin Duan, Aziguli Wulamu, Dezheng Zhang
2021 Frontiers in Computer Science  
We discuss types of wearable devices that can be used, methods for gait analyses, and multiple healthcare-related applications aided by artificial intelligence.  ...  In this study, we review the role of wearable devices in tracking our daily locomotion.  ...  Mundt Marion et al. built a feedforward neural network to estimate the gait mechanics from the 3D joint angle and lower limb joint torque based on IMU data (Mundt et al., 2020) .  ... 
doi:10.3389/fcomp.2021.661676 fatcat:2xhiqrujqzasrp2ap3axauil6q

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

Sophini Subramaniam, Sumit Majumder, Abu Ilius Faisal, M. Jamal Deen
2022 Sensors  
One such system can be embedded in an insole to obtain physiological data from the plantar aspect of the foot that can be analyzed to gain insight into an individual's health.  ...  The concept of a fully integrated insole-based health monitoring system and considerations for future work are described.  ...  neural network; LM: Levenberg-Marquardt; MLP: multilayer perceptron neural network; PNN: probabilistic neural networks; LVQ: learning vector quantization; kNN: k-nearest neighbors; DNN: deep neural networks  ... 
doi:10.3390/s22020438 pmid:35062398 pmcid:PMC8780030 fatcat:uhlqpgmhpncllijyuf34od5g3q

Adaptation mechanism of interlimb coordination in human split-belt treadmill walking through learning of foot contact timing: a robotics study

Soichiro Fujiki, Shinya Aoi, Tetsuro Funato, Nozomi Tomita, Kei Senda, Kazuo Tsuchiya
2015 Journal of the Royal Society Interface  
The spinal model generates rhythmic motor commands using an oscillator network based on a central pattern generator and modulates the commands formulated in immediate response to foot contact, while the  ...  Because various physiological findings suggest that foot contact timing is crucial to adaptive locomotion, this paper reports on the development of a two-layered control model for walking composed of spinal  ...  The authors thank Kenji Sakaida for his help with the human split-belt treadmill walking measurements.  ... 
doi:10.1098/rsif.2015.0542 pmid:26289658 pmcid:PMC4614464 fatcat:yrrf6jfkgzaotlr6fhifo56h6u

Integrative Biomimetics of Autonomous Hexapedal Locomotion

Volker Dürr, Paolo P. Arena, Holk Cruse, Chris J. Dallmann, Alin Drimus, Thierry Hoinville, Tammo Krause, Stefan Mátéfi-Tempfli, Jan Paskarbeit, Luca Patanè, Mattias Schäffersmann, Malte Schilling (+5 others)
2019 Frontiers in Neurorobotics  
formation of internal representations to the use of an internal body model-we introduce the walking robot HECTOR as a research platform for integrative biomimetics of hexapedal locomotion.  ...  Here, we provide an example for a hexapod robotic integration platform for autonomous locomotion.  ...  Krause for their contributions during the EMICAB project, and Yannick Günzel for technical assistance.  ... 
doi:10.3389/fnbot.2019.00088 pmid:31708765 pmcid:PMC6819508 fatcat:52w565eyczgvleem5vlnlerm7i

The neural control of limb movement

1992 IEEE Control Systems  
Researchers are regularly improving existing devices for ease of use and efficiency, and new ones are being developed such that it can mimic the maneuverability of the natural limb.  ...  interactive devices such as deployment of artificial prosthetics, improved brain-computer interactions and advanced neuroprosthetics for supporting activities of daily living in these patients.  ...  Thus, Kwon and Kim [110] noted this issue of intention sensing of human motion and devised a method for real time upper limb motion prediction using EMG signals and an artificial neural network algorithm  ... 
doi:10.1109/37.168814 fatcat:pwdrjhfvvfce7jdtzipqiqccuq

Towards Effective Non-Invasive Brain-Computer Interfaces Dedicated to Gait Rehabilitation Systems

Thierry Castermans, Matthieu Duvinage, Guy Cheron, Thierry Dutoit
2013 Brain Sciences  
In the last few years, significant progress has been made in the field of walk rehabilitation. Motor cortex signals in bipedal monkeys have been interpreted to predict walk kinematics.  ...  several animal species is built starting from common primitives, perhaps related to a common ancestral neural network [30] .  ...  Acknowledgments The authors would like to thank the reviewers for their valuable comments. M. Duvinage is an FNRS (Fonds National de la Recherche Scientifique) Research Fellow.  ... 
doi:10.3390/brainsci4010001 pmid:24961699 pmcid:PMC4066236 fatcat:apcstq54yfakzlsydlnczlfpeu

Neurophysiology and neural engineering: a review

Arthur Prochazka
2017 Journal of Neurophysiology  
The Artificial Ear: Cochlear Implants and the Culture of Deafness Piscataway Rutgers University 741 Press, 2010, p. 226. 742 Boger A, Bhadra N, and Gustafson KJ.  ...  Remarks on the hydro-electric chain of Dr. Pulvermacher. The Lancet, 58: 388-389, 1851. 736 Birdno MJ, Tang W, Dostrovsky JO, Hutchison WD, and Grill WM.  ...  In theory, ECoG electrode arrays implanted subdurally on the cortical surface, or epidurally on the 244 dural surface, should provide more localized multichannel signals than surface EEGs.  ... 
doi:10.1152/jn.00149.2017 pmid:28566462 pmcid:PMC5558026 fatcat:ehccmmdaebdmzdzwigjuyt3p4u

Acoustic Information During Motor Control and Action Perception: A Review

Alexandra Pizzera, Tanja Hohmann
2015 Open Psychology Journal  
Recent theories and studies that discuss the interaction of perception and action will be reviewed with an emphasis on the use of acoustic information.  ...  So far a lot of evidence for the interaction of action and perception derives from studies in the visual domain. However, up to now not much is known about the role of acoustic information.  ...  Such footstep sounds can contain valuable information about the walking person (e.g. sex or mood), but also on the surface he or she is walking on [15, 16] .  ... 
doi:10.2174/1874350101508010183 fatcat:huwblyym2fcx5kxitzxbpyghai

Soft robotic suits: State of the art, core technologies and open challenges [article]

Michele Xiloyannis, Ryan Alicea, Anna-Maria Georgarakis, Florian L. Haufe, Peter Wolf, Lorenzo Masia, Robert Riener
2021 arXiv   pre-print
Finally, we discuss the impact of this new technology on human movements, for both augmenting human function and supporting motor impairments, and identify areas that are in need of further development  ...  We then critically review the modes of actuation, the physical human-robot interface and the intention-detection strategies of state of the art soft robotic suits, highlighting the advantages and limitations  ...  A contractile inflatable actuator, anchored on the anterior of the lower leg and on the dorsal foot, dorsi-flexed the foot during the swing phase of walking, while a pair of PIAs, attached to the back  ... 
arXiv:2105.10588v1 fatcat:qdhok4zqqban5i7rvc2eftpybq

Internet of Things Technologies and Machine Learning Methods for Parkinson's Disease Diagnosis, Monitoring and Management: A Systematic Review

Konstantina-Maria Giannakopoulou, Ioanna Roussaki, Konstantinos Demestichas
2022 Sensors  
predictions or estimations regarding Parkinson's disease aspects.  ...  The recent advances in the Internet of Things and Artificial Intelligence fields, including the subdomains of machine learning and deep learning, can support Parkinson's disease patients, their caregivers  ...  Furthermore, deep learning (DL) is a subfield of ML which is less dependent on human intervention and is based on artificial neural networks (ANNs) that consist of multiple neurons stacked in many different  ... 
doi:10.3390/s22051799 pmid:35270944 pmcid:PMC8915040 fatcat:rqwpjamitvazxhkmntrkqrsdha

Dynamic Sensorimotor Interactions in Locomotion

Serge Rossignol, Réjean Dubuc, Jean-Pierre Gossard
2006 Physiological Reviews  
ACKNOWLEDGMENTS We thank Janyne Provencher, Daniel Cyr, and Claude Gauthier for help with the iconography.  ...  Again, nonobstructive perturbation of the dorsal surface during swing in backward walking elicited more or less the same response as stimulation of the ventral surface during swing in forward walking.  ...  The main deficit in the control of the foot was an initial drag at the onset of the swing phase. The animals dragged their foot on the surface of the belt (compare Fig. 2 , D vs.  ... 
doi:10.1152/physrev.00028.2005 pmid:16371596 fatcat:ys43o2pabndtfpssgzuzb5nvjy

A7 General Biomechanics

2005 Comparative Biochemistry and Physiology A  
The most uniform strain fields were computed for 8 weeks (the latest stage that was considered).  ...  Loading the distal limb segments increased energy use by most of the swing phase muscles, and by one muscle group previously thought to be only used during stance phase.  ...  Foot-on and foot-off times for each leg were from an accelerometer attached to the dorsal hoof wall.  ... 
doi:10.1016/j.cbpb.2005.05.012 fatcat:wmy2fzhkpbddrnlfygnj65dim4

Optical and computational dissection of emergent prefrontal rewiring to encode fear memory [article]

Masakazu Agetsuma, Issei Sato, Yasuhiro R Tanaka, Luis Carrillo-Reid, Atsushi Kasai, Yoshiyuki Arai, Miki Yoshitomo, Hitoshi Hashimoto, Junichi Nabekura, Takeharu Nagai
2021 bioRxiv   pre-print
While untangling the internal network may provide clues to the neural architecture underlying such disorders, it is technically difficult due to the complexity and heterogeneity of the network.  ...  Here we propose an optical and computational dissection of the internal prefrontal network based on chronic two-photon imaging and a sparse modeling algorithm, which enabled the discrimination of newly  ...  We thank the Bionanophotonics Consortium under the MEXT Scientific Research on Innovative Area "Spying Minority in Biological Phenomena" (Grant Number, 23115001) for assistance in microscopy, and the ISIR  ... 
doi:10.1101/2021.08.31.458461 fatcat:qyhlvvhc3fctlmcym64nknucvy
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