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A Data Set for the Study of Human Locomotion with Inertial Measurements Units
2019
Image Processing On Line
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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
2021
IEEE Access
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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]
2018
Springer Tracts in Advanced Robotics
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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
2015
Symmetry
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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
2021
Applied Bionics and Biomechanics
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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
2014
Sensors
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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
2014
International Journal of Advanced Robotic Systems
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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
2021
Sensors
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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
2021
Applied Sciences
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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
2005
Journal of Experimental Biology
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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
2012
2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob)
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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
2020
Motriz: Revista de Educacao Fisica
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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
2020
Frontiers in Bioengineering and Biotechnology
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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
2020
Complexity
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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]
2006
Springer Tracts in Advanced Robotics
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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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