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Journal of Motor Behavior Volume 49, 2017 - Issue 6
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Research Article

Speed-Interactive Treadmill Training Using Smartphone-Based Motion Tracking Technology Improves Gait in Stroke Patients

Junyoung LeeDepartment of Physical Therapy, College of Health Science, Sahmyook University, Seoul, Republic of Korea
,
Kyeongjin LeeDepartment of Physical Therapy, Kyungdong University, Gangwon Province, Republic of KoreaORCID Iconhttp://orcid.org/0000-0002-3090-0742
ORCID Icon &
Changho SongDepartment of Physical Therapy, College of Health Science, Sahmyook University, Seoul, Republic of KoreaCorrespondence[email protected]
Pages 675-685 | Received 11 Feb 2016, Accepted 12 Nov 2016, Published online: 02 Mar 2017

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Chao-Hung Wang, Chien-Chi Chang, Chih-Yu Hsiao & Meng-Chuan Ho. (2022) Effects of Reading Text on an Optical See-Through Head-Mounted Display During Treadmill Walking in a Virtual Environment. International Journal of Human–Computer Interaction 0:0, pages 1-14.
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Articles from other publishers (5)

Marta Moreno-Ligero, David Lucena-Anton, Alejandro Salazar, Inmaculada Failde & Jose A. Moral-Munoz. (2023) mHealth Impact on Gait and Dynamic Balance Outcomes in Neurorehabilitation: Systematic Review and Meta-analysis. Journal of Medical Systems 47:1.
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Kyeongjin Lee. (2020) Virtual Reality Gait Training to Promote Balance and Gait Among Older People: A Randomized Clinical Trial. Geriatrics 6:1, pages 1.
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Myung-Joon Kim. (2020) Virtual Reality Community Gait Training Using a 360° Image Improves Gait Ability in Chronic Stroke Patients. The Journal of Korean Physical Therapy 32:3, pages 185-190.
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Na Man, Kechao Wang & Lin Liu. (2020) Fuzzy sets for data mining and recommendation algorithms. Journal of Intelligent & Fuzzy Systems 38:4, pages 3737-3745.
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Kyeongjin Lee. (2019) Speed-Interactive Pedaling Training Using Smartphone Virtual Reality Application for Stroke Patients: Single-Blinded, Randomized Clinical Trial. Brain Sciences 9:11, pages 295.
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