Motion capture sensing techniques used in human upper limb motion: a review

A survey of advances in vision-based human motion capture and analysis

Moeslund, T. B., Hilton, A., & Krüger, V. (2006) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2006.08.002 · Cited by 2,546 · see citing works

Human motion tracking for rehabilitation-A survey

Zhou, H., & Hu, H. (2008) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2007.09.001 · Cited by 813 · see citing works

A survey of depth and inertial sensor fusion for human action recognition

Chen, C., Jafari, R., & Kehtarnavaz, N. (2017) · Multimedia Tools and Applications · doi:10.1007/s11042-015-3177-1 · Cited by 356 · see citing works

Biomechanical Validation of Upper-Body and Lower-Body Joint Movements of Kinect Motion Capture Data for Rehabilitation Treatments

Fernández-Baena, A., Susín, A., & Lligadas, X. (2012) · International Conference on Intelligent Networking and Collaborative Systems (INCoS) · doi:10.1109/incos.2012.66 · Cited by 283 · see citing works

The role of muscle synergies in myoelectric control: trends and challenges for simultaneous multifunction control

Ison, M. R., & Artemiadis, P. (2014) · Journal of Neural Engineering · doi:10.1088/1741-2560/11/5/051001 · Cited by 225 · see citing works

Real time RULA assessment using Kinect v2 sensor

Manghisi, V. M., Uva, A. E., Fiorentino, M., Bevilacqua, V., Trotta, G. F., & Monno, G. (2017) · Applied Ergonomics · doi:10.1016/j.apergo.2017.02.015 · Cited by 210 · see citing works

Tracking of Fingertips and Centers of Palm Using KINECT

Raheja, J. L., Chaudhary, A., & Singal, K. (2011) · doi:10.1109/cimsim.2011.51 · Cited by 201 · see citing works

Human Joint Angle Estimation with Inertial Sensors and Validation with A Robot Arm

El‐Gohary, M., & McNames, J. (2015) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2015.2403368 · Cited by 167 · see citing works

A feasibility study of an upper limb rehabilitation system using kinect and computer games

Pastor, I., Hayes, H., & Bamberg, S. J. M. (2012) · doi:10.1109/embc.2012.6346173 · Cited by 124 · see citing works

A Spatial Augmented Reality rehab system for post-stroke hand rehabilitation.

Hondori, H. M., Khademi, M., Dodakian, L., et al. (2013) · PubMed · Cited by 123 · see citing works

Upper limb motion tracking with the integration of IMU and Kinect

Tian, Y., Meng, X., Tao, D., Liu, D., & Feng, C. (2015) · Neurocomputing · doi:10.1016/j.neucom.2015.01.071 · Cited by 120 · see citing works

Reducing Drifts in the Inertial Measurements of Wrist and Elbow Positions

Zhou, H., & Hu, H. (2009) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2009.2025065 · Cited by 120 · see citing works

Inertial measurements of upper limb motion

Zhou, H., Hu, H., & Tao, Y. (2006) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-006-0063-z · Cited by 106 · see citing works

Recognizing upper limb movements with wrist worn inertial sensors using k-means clustering classification

Biswas, D., Cranny, A., Gupta, N., Maharatna, K., Achner, J., Klemke, J., Jöbges, M., & Ortmann, S. (2014) · Human Movement Science · doi:10.1016/j.humov.2014.11.013 · Cited by 102 · see citing works

Suitability of Kinect for measuring whole body movement patterns during exergaming

van Diest, M., Stegenga, J., Wörtche, H. J., et al. (2014) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2014.07.017 · Cited by 96 · see citing works

Ubiquitous Human Upper-Limb Motion Estimation using Wearable Sensors

Zhang, Z., Wong, W., & Wu, J. (2011) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2011.2159122 · Cited by 92 · see citing works

A Novel Sensing and Data Fusion System for 3-D Arm Motion Tracking in Telerehabilitation

Tao, Y., & Hu, H. (2008) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2007.913828 · Cited by 84 · see citing works

Sports activities are reflected in the local stability and regularity of body sway: Older ice-skaters have better postural control than inactive elderly

Lamoth, C. J. C., & van Heuvelen, M. J. G. (2011) · Gait & Posture · doi:10.1016/j.gaitpost.2011.11.014 · Cited by 77 · see citing works

Leap motion evaluation for assessment of upper limb motor skills in Parkinson's disease

Butt, A. H., Rovini, E., Dolciotti, C., et al. (2017) · International Conference on Rehabilitation Robotics · doi:10.1109/icorr.2017.8009232 · Cited by 69 · see citing works

Quantitative Assessment of Upper Limb Motion in Neurorehabilitation Utilizing Inertial Sensors

Bai, L., Pepper, M., Yan, Y. G., Spurgeon, S. K., Sakel, M., & Phillips, M. (2014) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2014.2369740 · Cited by 64 · see citing works

Age differences in the control of postural stability during reaching tasks

Huang, M. H., & Brown, S. H. (2013) · Gait & Posture · doi:10.1016/j.gaitpost.2013.04.004 · Cited by 64 · see citing works

Adaptive Information Fusion for Human Upper Limb Movement Estimation

Zhang, Z., Ji, L., Huang, Z., & Wu, J. (2012) · IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans · doi:10.1109/tsmca.2012.2189876 · Cited by 60 · see citing works

Using the Microsoft Kinect™ to assess 3-D shoulder kinematics during computer use

Xu, X., Robertson, M. M., Chen, K., et al. (2017) · Applied Ergonomics · doi:10.1016/j.apergo.2017.04.004 · Cited by 59 · see citing works

Human motion capture sensors and analysis in robotics

Field, M., Pan, Z. S., Stirling, D. A., & Naghdy, F. (2011) · Industrial Robot the international journal of robotics research and application · doi:10.1108/01439911111106372 · Cited by 57 · see citing works

Vision Based Games for Upper-Limb Stroke Rehabilitation

Burke, J. W., Morrow, P., McNeill, M. D. J., et al. (2008) · International Machine Vision and Image Processing Conference (IMVIP) · doi:10.1109/imvip.2008.16 · Cited by 53 · see citing works

Electromyography-Based Quantitative Representation Method for Upper-Limb Elbow Joint Angle in Sagittal Plane

Pang, M., Guo, S., Huang, Q., Ishihara, H., & Hirata, H. (2015) · Journal of Medical and Biological Engineering · doi:10.1007/s40846-015-0033-8 · Cited by 53 · see citing works

Digital data acquisition of shoulder range of motion and arm motion smoothness using Kinect v2

Zulkarnain, R. F., Kim, G.-Y., Adikrishna, A., et al. (2017) · Journal of Shoulder and Elbow Surgery · doi:10.1016/j.jse.2016.10.026 · Cited by 50 · see citing works

Comparison of Kinect and Vicon Motion Capture of Upper-Body Joint Angle Tracking

Schlagenhauf, F., Sreeram, S., & Singhose, W. (2018) · International Conference on Control and Automation · doi:10.1109/icca.2018.8444349 · Cited by 48 · see citing works

A novel functional calibration method for real-time elbow joint angles estimation with magnetic-inertial sensors

Ligorio, G., Zanotto, D., Sabatini, A. M., & Agrawal, S. K. (2017) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2017.01.024 · Cited by 46 · see citing works

Mixed reality environments in stroke rehabilitation: Interfaces across the real/virtual divide

Pridmore, T., Cobb, S. V. G., Hilton, D., Green, J., & Eastgate, R. M. (2007) · International Journal on Disability and Human Development · doi:10.1515/ijdhd.2007.6.1.87 · Cited by 45 · see citing works

Human Arm Motion Tracking by Orientation-Based Fusion of Inertial Sensors and Kinect Using Unscented Kalman Filter

Atrsaei, A., Salarieh, H., & Alasty, A. (2016) · Journal of Biomechanical Engineering · doi:10.1115/1.4034170 · Cited by 44 · see citing works

Upper limb motion estimation from inertial measurements

Zhou, H., & Hu, H. (2007) · Research Portal (Queen's University Belfast) · Cited by 40 · see citing works

Abnormal Walking Gait Analysis Using Silhouette-Masked Flow Histograms

Wang, L. (2006) · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · doi:10.1109/icpr.2006.199 · Cited by 39 · see citing works

Measurements and sensors for motion tracking in motor rehabilitation

Vito, L. D., Postolache, O. A., & Rapuano, S. (2014) · IEEE Instrumentation & Measurement Magazine · doi:10.1109/mim.2014.6825386 · Cited by 38 · see citing works

Using Wearable Sensors and Machine Learning Models to Separate Functional Upper Extremity Use From Walking-Associated Arm Movements

McLeod, A., Bochniewicz, E. M., Lum, P. S., Holley, R. J., Emmer, G., & Dromerick, A. W. (2015) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2015.08.435 · Cited by 37 · see citing works

The accuracy of the Microsoft Kinect in joint angle measurement

Choppin, S. B., Lane, B., & Wheat, J. S. (2014) · Sports Technology · doi:10.1080/19346182.2014.968165 · Cited by 37 · see citing works

Joint amplitude MEMS based measurement platform for low cost and high accessibility telerehabilitation: Elbow case study

Callejas-Cuervo, M., Gutiérrez, R. M., & Hernandez, A. I. (2016) · Journal of Bodywork and Movement Therapies · doi:10.1016/j.jbmt.2016.08.016 · Cited by 33 · see citing works

Human Motion Analysis with Wearable Inertial Sensors

Chen, X. (2013) · Cited by 29 · see citing works

Real-Time Static Gesture Recognition for Upper Extremity Rehabilitation Using the Leap Motion

Gieser, S. N., Boisselle, A., & Makedon, F. S. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-21070-4_15 · Cited by 25 · see citing works

An adaptive complementary filter for inertial sensor based data fusion to track upper body motion

Karunarathne, M. S., Ekanayake, S. W., & Pathirana, P. N. (2014) · International Conference on Information and Automation for Sustainability (ICIAfS) · doi:10.1109/iciafs.2014.7069606 · Cited by 23 · see citing works

Human Upper Limb Motion Analysis for Post-Stroke Impairment Assessment Using Video Analytics

Yang, C., Kerr, A., Stanković, V., Stanković, L., Rowe, P. J., & Cheng, S. S. M. (2016) · IEEE Access · doi:10.1109/access.2016.2523803 · Cited by 23 · see citing works

Defining the upper extremity range of motion for safe automobile driving

Rawal, A., Chehata, A., Horberry, T., et al. (2018) · Clinical Biomechanics · doi:10.1016/j.clinbiomech.2018.03.009 · Cited by 21 · see citing works

Non uniform Embedding based on Relevance Analysis with reduced computational complexity: Application to the detection of pathologies from biosignal recordings

Gómez-García, J. A., Godino-Llorente, J. I., & Castellanos-Dominguez, G. (2013) · Neurocomputing · doi:10.1016/j.neucom.2013.01.059 · Cited by 20 · see citing works

Wearable low-cost inertial sensor-based electrogoniometer for measuring joint range of motion

Ruiz-Olaya, A. F., Callejas-Cuervo, M., & Lara-Herrera, C. N. (2017) · DYNA · doi:10.15446/dyna.v84n201.59054 · Cited by 16 · see citing works

Upper limb movement analysis via marker tracking with a single-camera system

Yang, C., Kerr, A., Stanković, V., Stanković, L., & Rowe, P. J. (2014) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2014.7025463 · Cited by 12 · see citing works

The impact of partial discharge on the dielectric properties of refined bleached and deodorized palm oil (RBDPO)

HadiAlnashia, I. A., Mohd, I. I., Almelian, M. M., et al. (2018) · Journal of Telecommunication Electronic and Computer Engineering (JTEC) · Cited by 10 · see citing works

Upper limb performance and the structuring of joint movement in teenagers with cerebral palsy: the reciprocal role of task demands and action capabilities

Figueiredo, P. R. P., da Silva, P. L. P., Avelar, B. S., et al. (2015) · Experimental Brain Research · doi:10.1007/s00221-014-4195-3 · Cited by 7 · see citing works

Accurate estimation of joint motion trajectories for rehabilitation using Kinect

Sinha, S., Bhowmick, B., Sinha, A., & Das, A. (2017) · 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2017.8037700 · Cited by 6 · see citing works

Real Time Elbow Angle Estimation Using Single RGB CameraPreprint

Yahya, M., Shah, J. A., Warsi, A., et al. (2018) · Preprints.org · doi:10.20944/preprints201808.0407.v1 · Cited by 6 · see citing works

Selection of Spectrogram’s Best Window Size in EMG Signal during Core Lifting Task

Shair, E. F., Ahmad, S. A., Abdullah, A. R., et al. (2018) · Journal of Telecommunication Electronic and Computer Engineering (JTEC) · Cited by 2 · see citing works

Research and Literature Review on Developing Motion Capture System for Analyzing Athletes Action

Han, F., & Bo, X. (2015) · Advances in Social Science, Education and Humanities Research/Advances in social science, education and humanities research · doi:10.2991/etmhs-15.2015.103 · Cited by 1 · see citing works

Miniaturized wireless, skin-integrated sensor networks for quantifying full-body movement behaviors and vital signs in infants

Jeong, H., Kwak, S. S., Sohn, S., Lee, J. Y., Lee, Y. J., O’Brien, M. K., Park, Y., Avila, R., Kim, J.-T., Yoo, J.-Y., et al. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2104925118 · Cited by 59 · see citing works

Face-to-Face Interaction and the KTH Cooking Show

Beskow, J., Edlund, J., Granström, B., et al. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-12397-9_13 · Cited by 8 · see citing works

Dynamic Joint Motions in Occupational Environments as Indicators of Potential Musculoskeletal Injury Risk

Dufour, J. S., Aurand, A. M., Weston, E. B., Haritos, C. N., Souchereau, R. A., & Marras, W. S. (2021) · Journal of Applied Biomechanics · doi:10.1123/jab.2020-0213 · Cited by 7 · see citing works

Generation and Evaluation of Emotional Body Motion for Virtual Dance Collaboration

Tsuruta, S., Morioka, H., Choi, W., et al. (2009) · The Journal of The Institute of Image Information and Television Engineers · doi:10.3169/itej.63.1807 · Cited by 2 · see citing works

Human motion capture and representation 3-D avatar interaction

Tay, C., & Green, R. R. (2009) · doi:10.1109/ivcnz.2009.5378411 · Cited by 1 · see citing works

3D Human Motion Editing and Synthesis: A Survey

Wang, X., Chen, Q., & Wang, W. (2014) · Computational and Mathematical Methods in Medicine · doi:10.1155/2014/104535 · Cited by 34 · see citing works