Video-Based Gait Assessment Using Machine Learning to Classify Age and Sex in Low-Resource Settings: Cross-Sectional Study

Chanchanok Aramrat   ^{1, 2} , MD ;   Poppy Alice Carson Mallinson   ³ , PhD ;   Papangkorn Inkaew   ⁴ , PhD ;   Pusit Seepheung   ¹ , MD ;   Nutchar Wiwatkunupakarn   ^{1, 2} , MD ;   Nida Buawangpong   ^{1, 2} , MD, PhD ;   Nick Birk   ^{3, 5} , PhD ;   Judith Lieber   ⁶ , PhD ;   Santhi Bhogadi   ⁷ , MCA ;   Hemant Mahajan   ⁸ , MD ;   Santosh Kumar Banjara   ⁸ , MBBS, MD ;   Bharati Kulkarni   ⁸ , MBBS, PhD ;   Sanjay Kinra   ³ , MBBS, PhD ;   Chaisiri Angkurawaranon   ^{1, 2} , MD, MSc, PhD

¹ Department of Family Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand

² Global Health and Chronic Conditions Research Group, Chiang Mai University, Chiang Mai, Thailand

³ Department of Non-Communicable Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom

⁴ Department of Computer Science, Faculty of Science, Chiang Mai University, Chiang Mai, Thailand

⁵ Harvard TH Chan, School of Public Health, Harvard University, Cambridge, MA, United States

⁶ Department of Medical Statistics, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, United Kingdom

⁷ Public Health Foundation of India, New Delhi, India

⁸ National Institute of Nutrition, Indian Council of Medical Research, Hyderabad, Telangana, India