Development of Classification Algorithms for the Detection of Postures Using Non-Marker-Based Motion Capture Systems
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Anna Zamansky | Dmitry I. Kaplun | Andrey Aksenov | Oleg A. Markelov | Aleksandr M. Sinitca | Tatiana Klishkovskaia | A. Zamansky | O. Markelov | D. Kaplun | A. Aksenov | T. Klishkovskaia | Aleksandr M Sinitca
[1] Albert A. Rizzo,et al. Interactive game-based rehabilitation using the Microsoft Kinect , 2012, 2012 IEEE Virtual Reality Workshops (VRW).
[2] Adso Fernández-Baena,et al. Biomechanical Validation of Upper-Body and Lower-Body Joint Movements of Kinect Motion Capture Data for Rehabilitation Treatments , 2012, 2012 Fourth International Conference on Intelligent Networking and Collaborative Systems.
[3] V. Macellari,et al. Does the thickening of Achilles tendon and plantar fascia contribute to the alteration of diabetic foot loading? , 2005, Clinical biomechanics.
[4] R. Hinman,et al. "I was really sceptical...But it worked really well": a qualitative study of patient perceptions of telephone-delivered exercise therapy by physiotherapists for people with knee osteoarthritis. , 2018, Osteoarthritis and cartilage.
[5] I. Nolte,et al. Computer-based gait analysis of dogs: Evaluation of kinetic and kinematic parameters after cemented and cementless total hip replacement , 2012, Veterinary and Comparative Orthopaedics and Traumatology.
[6] N. Kirk-Sanchez,et al. Physical exercise and cognitive performance in the elderly: current perspectives , 2013, Clinical interventions in aging.
[7] Yao-Jen Chang,et al. A Kinect-based upper limb rehabilitation system to assist people with cerebral palsy. , 2013, Research in developmental disabilities.
[8] Yongqiang Feng,et al. Accuracy and precision of a custom camera-based system for 2-d and 3-d motion tracking during speech and nonspeech motor tasks. , 2014, Journal of speech, language, and hearing research : JSLHR.
[9] S. Saini,et al. A low-cost game framework for a home-based stroke rehabilitation system , 2012, 2012 International Conference on Computer & Information Science (ICCIS).
[10] Simone Calderara,et al. Quick, Accurate, Smart: 3D Computer Vision Technology Helps Assessing Confined Animals’ Behaviour , 2016, 2014 22nd International Conference on Pattern Recognition.
[11] P. S. Archambault,et al. Evaluation of Kinect skeletal tracking in a virtual reality rehabilitation system for upper limb hemiparesis , 2013, 2013 International Conference on Virtual Rehabilitation (ICVR).
[12] G. Burdea. Virtual Rehabilitation - Benefits and Challenges , 2003, Yearbook of Medical Informatics.
[13] Arantza Illarramendi,et al. KiReS: A Kinect-based telerehabilitation system , 2013, 2013 IEEE 15th International Conference on e-Health Networking, Applications and Services (Healthcom 2013).
[14] Qiang Liu,et al. Patients’ views toward knee osteoarthritis exercise therapy and factors influencing adherence – a survey in China , 2018, The Physician and sportsmedicine.
[15] Chung-Hung Hsieh,et al. A Kinect-Based System for Physical Rehabilitation: Utilizing Tai Chi Exercises to Improve Movement Disorders in Patients with Balance Ability , 2013, 2013 7th Asia Modelling Symposium.
[16] Eric Psota,et al. Multi-Pig Part Detection and Association with a Fully-Convolutional Network , 2019, Sensors.
[17] M. Corbett,et al. Biomechanical analysis in veterinary practice , 2016, In Practice.
[18] E. Vieira,et al. Prevention of falls in older people living in the community , 2016, British Medical Journal.
[19] Kade Paterson,et al. Instrumenting gait assessment using the Kinect in people living with stroke: reliability and association with balance tests , 2015, Journal of NeuroEngineering and Rehabilitation.
[20] Joon-Ho Shin,et al. A task-specific interactive game-based virtual reality rehabilitation system for patients with stroke: a usability test and two clinical experiments , 2014, Journal of NeuroEngineering and Rehabilitation.
[21] Yong Kim,et al. Classification of Children’s Sitting Postures Using Machine Learning Algorithms , 2018, Applied Sciences.
[22] B. Prilutsky,et al. An animal model to evaluate skin-implant-bone integration and gait with a prosthesis directly attached to the residual limb. , 2014, Clinical biomechanics.
[23] Todd H. Stokes,et al. Kinect-based rehabilitation system for patients with traumatic brain injury , 2013, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).
[24] Judith Jones,et al. The aging population: demographics and the biology of aging. , 2016, Periodontology 2000.
[25] H. Fardoun,et al. Virtual Rehabilitation for Multiple Sclerosis Using a Kinect-Based System: Randomized Controlled Trial , 2014, JMIR serious games.
[26] Boreom Lee,et al. Sitting Posture Monitoring System Based on a Low-Cost Load Cell Using Machine Learning , 2018, Sensors.
[27] O. Celik,et al. Systematic review of Kinect applications in elderly care and stroke rehabilitation , 2014, Journal of NeuroEngineering and Rehabilitation.
[28] Chuan-Jun Su,et al. Kinect-enabled home-based rehabilitation system using Dynamic Time Warping and fuzzy logic , 2014, Appl. Soft Comput..
[29] Hossein Mousavi Hondori,et al. A Review on Technical and Clinical Impact of Microsoft Kinect on Physical Therapy and Rehabilitation , 2014, Journal of medical engineering.
[30] Javier Jaén Martínez,et al. Assessing machine learning classifiers for the detection of animals' behavior using depth-based tracking , 2017, Expert Syst. Appl..
[31] Stacy J. Morris Bamberg,et al. A feasibility study of an upper limb rehabilitation system using kinect and computer games , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[32] Francisco Javier Díaz Pernas,et al. A Kinect-based system for cognitive rehabilitation exercises monitoring , 2014, Comput. Methods Programs Biomed..
[33] A. Illarramendi,et al. Exercise Recognition for Kinect-based Telerehabilitation , 2014, Methods of Information in Medicine.