Video-based gait analysis of 3D silhouettes

基于视频的 3D 轮廓步态分析

• 批准号: RGPIN-2015-05671
• 负责人: Meunier, Jean
• 金额: $ 1.82万
• 依托单位: Université de Montréal
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=637026
• 关键词: Video; based; gait; analysis; 3D

Musculoskeletal diseases and disorders are one of the leading causes of physician visits in Canada and have a major impact on society in terms of illness, long-term disability and economics. As the Canadian population is aging, these problems will rapidly increase in the future. New biomedical technologies to identify and diagnose early significant abnormalities for more efficient treatment and a faster recovery of the patient are thus needed. For that matter, gait analysis has shown a lot of evidences demonstrating its potential for clinical medical practice. In this context, the general long-term vision of this program of research is to identify relevant parameters from the dynamics of reconstructed 3D body silhouettes for activity recognition. In particular, we will focus during the next years on 3D gait analysis in the clinic and at home.

在加拿大，肌肉骨骼疾病和紊乱是就诊的主要原因之一，在疾病、长期残疾和经济方面对社会产生重大影响。随着加拿大人口老龄化，这些问题未来将迅速增加。因此，需要新的生物医学技术来识别和诊断早期的显著异常，以便更有效地治疗和更快地恢复患者。因此，步态分析已经显示出许多证据，证明其在临床医学实践中的潜力。在这种情况下，该研究计划的总体长期愿景是从重建的3D身体轮廓的动态中识别相关参数，以进行活动识别。特别是，我们将在未来几年专注于临床和家庭的3D步态分析。