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A Data Set for the Study of Human Locomotion with Inertial Measurements Units

Charles Truong, Rémi Barrois-Müller, Thomas Moreau, Clément Provost, Aliénor Vienne-Jumeau, Albane Moreau, Pierre-Paul Vidal, Nicolas Vayatis, Stéphane Buffat, Alain Yelnik, Damien Ricard, Laurent Oudre
2019 Image Processing On Line  
This article thoroughly describes a data set of 1020 multivariate gait signals collected with two inertial measurement units, from 230 subjects undergoing a fixed protocol: standing still, walking 10 m  ...  This exact data set was used in [Oudre et al., Template-based step detection with inertial measurement units, Sensors 18, 2018] to design and evaluate a step detection procedure.  ...  Introduction The study of human gait is a central problem in medical research with far-reaching consequences in the public health domain.  ... 
doi:10.5201/ipol.2019.265 fatcat:xgioxufxgvba5futb2mc5ow4su

Monitoring Real-time Personal Locomotion Behaviors over Smart Indoor-outdoor Environments via Body-Worn Sensors

Munkhjargal Gochoo, Sheikh Badar Ud Din Tahir, Ahmad Jalal, Kibum Kim
2021 IEEE Access  
The selected features with optimized patterns are further processed by multi-layered kernel sliding perceptron to develop adaptive learning for the classification of physical human activities.  ...  The monitoring of human physical activities using wearable sensors, such as inertial-based sensors, plays a significant role in various current and potential applications.  ...  In order to optimize the functionalities of such sensors they are fused together into single units called Inertial Measurement Units (IMUs).  ... 
doi:10.1109/access.2021.3078513 fatcat:hjdgw4k3e5brzpoo4rpkarrbui

Review of Anthropomorphic Head Stabilisation and Verticality Estimation in Robots [chapter]

Ildar Farkhatdinov, Hannah Michalska, Alain Berthoz, Vincent Hayward
2018 Springer Tracts in Advanced Robotics  
Free-moving robotic systems could gain the full benefits of inertial measurements if the measurement units are placed on independently orientable platforms, such as a human-like heads.  ...  We suggest that this strategy could also benefit free-moving robotic systems, such as locomoting humanoid robots, which are typically equipped with inertial measurements units.  ...  Research on human-like head stabilisation and control has been intensified over last years. In [114] a set of experiments for human-like gaze control for a humanoid robot was presented.  ... 
doi:10.1007/978-3-319-93870-7_9 fatcat:6nuuqebkaraq3pqto62ptyazw4

Kinematic Skeleton Based Control of a Virtual Simulator for Military Training

Soyeon Lee, Sangjoon Park, Kyoil Chung, Choongho Cho
2015 Symmetry  
The accuracy of two approaches is evaluated by comparing with the reference system, which gives a ground truth value.  ...  To maximize the virtual reality effect within a restricted space, a locomotion interface such as an omni-directional treadmill is introduced as a major component of a virtual simulator, therefore real  ...  Acknowledgments This work was supported by the ICT R&D program of MSIP/IITP. (R0101-15-0168, Development of ODM-interactive Software Technology supporting Live-Virtual Soldier Exercises).  ... 
doi:10.3390/sym7021043 fatcat:uaqelzbr5bdsbkgfams23x7wx4

Locomotion Mode Recognition with Inertial Signals for Hip Joint Exoskeleton

Gang Du, Jinchen Zeng, Cheng Gong, Enhao Zheng, Musa L. Audu
2021 Applied Bionics and Biomechanics  
Our study proposed a fuzzy-logic-based locomotion mode/transition recognition approach that uses the onrobot inertial sensors for a hip joint exoskeleton (active pelvic orthosis).  ...  The method outputs the recognition decisions at each extreme point of the hip joint angles purely relying on the integrated inertial sensors.  ...  Conflicts of Interest The authors declare no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.  ... 
doi:10.1155/2021/6673018 fatcat:puz5vwxowzaqlaizkr2f4mmwzi

Estimating Orientation Using Magnetic and Inertial Sensors and Different Sensor Fusion Approaches: Accuracy Assessment in Manual and Locomotion Tasks

Elena Bergamini, Gabriele Ligorio, Aurora Summa, Giuseppe Vannozzi, Aurelio Cappozzo, Angelo Sabatini
2014 Sensors  
Magnetic and inertial measurement units are an emerging technology to obtain 3D orientation of body segments in human movement analysis.  ...  Manual and locomotion tasks, differing in time duration, measurement volume, presence/absence of static phases, and out-of-plane movements, were performed by six subjects, and recorded by one unit located  ...  The initial condition for all methods was thus set to the null unit quaternion ( = [ 0 0 0 1] ).  ... 
doi:10.3390/s141018625 pmid:25302810 pmcid:PMC4239903 fatcat:oou3vsg4n5fmhabz7uar7zwcxe

On the Design of a Wearable Multi-sensor System for Recognizing Motion Modes and Sit-to-stand Transition

Enhao Zheng, Baojun Chen, Xuegang Wang, Yan Huang, Qining Wang
2014 International Journal of Advanced Robotic Systems  
The sensor suit of the system includes three inertial measurement units (IMUs) and eight force sensors.  ...  Locomotion mode recognition is one of the key aspects of control of intelligent prostheses. This paper presents a wireless wearable multi-sensor system for locomotion mode recognition.  ...  For measuring human kinematic parameters, three inertial measurement units (IMUs) were fixed on the thigh, the shank, and the forefoot of the measured leg, respectively.  ... 
doi:10.5772/57788 fatcat:ecltdywi5vhqrl2a2fiuumql4q

The Role of Surface Electromyography in Data Fusion with Inertial Sensors to Enhance Locomotion Recognition and Prediction

Lin Meng, Jun Pang, Ziyao Wang, Rui Xu, Dong Ming
2021 Sensors  
This paper firstly investigated the effect of surface EMG on the prediction of locomotion while integrated with inertial data.  ...  Locomotion recognition and prediction is essential for real-time human–machine interactive control.  ...  Acknowledgments: Gratitude is expressed towards the the National Natural Science Foundation of China, the National Key R&D Program of China and the Key R&D Program of Tianjin.  ... 
doi:10.3390/s21186291 pmid:34577498 fatcat:pzn3cyw5gnddxnb4wxgdywsvvq

SA-SVM-Based Locomotion Pattern Recognition for Exoskeleton Robot

Zeyu Yin, Jianbin Zheng, Liping Huang, Yifan Gao, Huihui Peng, Linghan Yin
2021 Applied Sciences  
The pressure signal measured by the force sensing resistors integrated on the sole of the shoe is fused with the position and pose information measured by the inertial measurement units attached to the  ...  In this paper, a simulated annealing (SA) algorithm-based support vector machine model is proposed for the recognition of different locomotion patterns.  ...  There are two main types of sensors used to collect data, inertial measurement units (IMUs) and force sensitive resistors (FSRs).  ... 
doi:10.3390/app11125573 fatcat:akum2423brbpvbzpfdnb3hcpe4

A method for deriving displacement data during cyclical movement using an inertial sensor

T. Pfau
2005 Journal of Experimental Biology  
We thank the BBSRC for funding T.P. and the project and the Horserace Betting Levy Board, London, for funding T.H.W.  ...  We acknowledge James Usherwood and Anton van den Bogert for providing feedback on the manuscript during preparation. The authors declare that they have no competing financial interests.  ...  accelerations observed in human locomotion.  ... 
doi:10.1242/jeb.01658 pmid:15961737 fatcat:45wrgzszerh3lckggcl222zbte

A wearable capacitive sensing system with phase-dependent classifier for locomotion mode recognition

Enhao Zheng, Baojun Chen, Qining Wang, Kunlin Wei, Long Wang
2012 2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob)  
In this paper, we propose a capacitance based sensing system for recognizing human locomotion modes.  ...  Locomotion mode recognition is one of the most important aspects for the control of motion rehabilitation systems, e.g. lower-limb prostheses and exoskeletons.  ...  [5] designed an intelligent shoe, equipped with inertial measurement unit (IMU), which was more convenient for applications.  ... 
doi:10.1109/biorob.2012.6290721 fatcat:tvqs76fglrdxtixlzckig5zd54

Use of wearable inertial sensors for the assessment of spatiotemporal gait variables in children: A systematic review

Paulo Roberto Fonseca Junior, Renata Calhes Franco de Moura, Cláudia Santos Oliveira, Fabiano Politti
2020 Motriz: Revista de Educacao Fisica  
Aim: The present study aimed to perform a literature review on the use of wearable inertial sensors for gait analysis of children in clinical practice.  ...  Methods: Searches were performed in the MEDLINE, EMBASE, Cochrane Library, and PEDro databases for studies involving children or adolescents submitted to gait analysis with the use of wearable inertial  ...  Agency for the Support and Evaluation of Graduate Education within the Brazilian Ministry of Education.  ... 
doi:10.1590/s1980-6574202000030139 fatcat:ag7ngsohlvbinmeb22hxsrfhaa

A Machine Learning and Wearable Sensor Based Approach to Estimate External Knee Flexion and Adduction Moments During Various Locomotion Tasks

Bernd J. Stetter, Frieder C. Krafft, Steffen Ringhof, Thorsten Stein, Stefan Sell
2020 Frontiers in Bioengineering and Biotechnology  
Thirteen participants were instrumented with two inertial measurement units (IMUs) located on the right thigh and shank.  ...  Participants performed six different locomotion tasks consisting of linear motions and motions with a change of direction, while IMU signals as well as full body kinematics and ground reaction forces were  ...  AUTHOR CONTRIBUTIONS BS, FK, SR, TS, and SS were involved in the design of the study. BS, FK, and SR carried out all data collection and analysis.  ... 
doi:10.3389/fbioe.2020.00009 pmid:32039192 pmcid:PMC6993119 fatcat:22mnvgrbwfhqxdkmvxrhxcd6by

Locomotion Prediction for Lower Limb Prostheses in Complex Environments via sEMG and Inertial Sensors

Fang Peng, Cheng Zhang, Bugong Xu, Jiehao Li, Zhen Wang, Hang Su, Rongxin Cui
2020 Complexity  
Previous studies have shown that the motion intention recognition for lower limb prosthesis mainly focused on the identification of performed gait.  ...  The proposed scheme implements the locomotion prediction at the initial stage of each gait and provides critical information for the gait control of lower limb prosthesis.  ...  Introduction e powered lower limb prosthesis, which can provide active torque for amputees and imitate the movement of healthy human leg better than a passive prosthesis, has been widely studied for a  ... 
doi:10.1155/2020/8810663 fatcat:zibovcjaoba3ri2c5pfzhqawx4

Towards High-Fidelity On-Board Attitude Estimation for Legged Locomotion via a Hybrid Range and Inertial Approach [chapter]

Surya P.N. Singh, Kenneth J. Waldron
2006 Springer Tracts in Advanced Robotics  
This paper introduces the attitude estimation problem for legged locomotion and shows preliminary results from a more powerful combined range and inertial sensing approach.  ...  Based on a modified Extended Kalman Filter the method uses ground-directed range sensors, the stride period, and other periodic features of legged locomotion in order to address inertial drift.  ...  ), now in units of m/sec 2 , are corrected for misalignment to give the reported acceleration measurement.  ... 
doi:10.1007/11552246_56 fatcat:ojagwoekrbgxpnd7gnbfab6ouy
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