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个人简介
Dr. Philippe Terrier is an assistant professor at the University of Applied Sciences and Arts of Western Switzerland in Neuchâtel (ARC santé). After a Master of Science degree (MS) in Biology from the University of Lausanne (UNIL), Dr. Terrier perfected his knowledge in biomedical engineering at the Swiss Federal Institute of Technology (EPFL). He then returned to the UNIL, at the Department of Physiology, to complete a Doctorate of Science in 2003 and pursued his research as a postdoctoral fellow. Through his research, he pioneered the field of sensor combination for enhancing physical activity monitoring in real-life conditions. More recently, at the Clinique Romande de Réadaptation (Sion, Switzerland), Dr. Terrier’s research has focused on developing non-conventional gait analysis methods to assess walking abilities in a clinical context. He has proposed using short walking tests, measured by simple accelerometers, to determine the gait quality of patients with musculoskeletal or neurological disorders. Dr. Terrier’s interests also focused on machine learning and deep learning. In 2018, he earned a Certificate of Open Studies in Applied Data Science from EPFL. He aimed at applying machine learning techniques to the field of gait analysis and biometrics via gait recognition. In 2021, Philippe Terrier was awarded a career grant from the Swiss National Science Foundation ("Practice-to-science"). The grant supports a project about preventing falls in older adults.
研究兴趣
论文共 273 篇作者统计合作学者相似作者
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Data in Brief (2024): 110530-110530
crossref(2023)
crossref(2023)
crossref(2023)
Acta psychologica (2023): 103942-103942
Gait & Posture (2022): S161-S162
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作者统计
#Papers: 273
#Citation: 14564
H-Index: 69
G-Index: 115
Sociability: 7
Diversity: 4
Activity: 36
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