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Title:
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A REVIEW OF HUMAN BODY SHAPE DETECTION TECHNIQUES AND THEIR APPLICATION TO THE PREDICTION OF HEALTH RISKS |
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Author(s):
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Shellyann Sooklal, Patrick Hosein, Surujpal Teelucksingh |
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ISBN:
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978-989-8533-53-1 |
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Editors:
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Mário Macedo |
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Year:
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2016 |
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Edition:
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Single |
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Keywords:
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Body shape, feature detection, image processing |
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Type:
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Reflection Paper |
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First Page:
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207 |
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Last Page:
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210 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Human body shape detection techniques have applications across fields such as surveillance for security purposes and design and clothes fitting estimations in the fashion industry. We here propose the use of body shape detection for the classification and estimation of health risks since body shapes are directly related to fat distribution. With the phenomenal increase in prevalence of obesity worldwide and the ensuring epidemic of diabetes and other weight related sequelae, the monitoring of body shapes has assumed great relevance. This is especially so among children where earlier identification and timely interventions may impact future health outcomes. Body shape assessment by traditional manual methods can be tedious, time consuming and may exaggerate psychological effects on obese students. Therefore non-invasive approaches employing images has potential to both screen larger numbers as well as avoid direct contact. Although such techniques are available, the equipment necessary can be expensive thereby limiting access to those from poorer countries whose populations are most vulnerable to epidemiologic transition to obesity. In this paper we provide a review of body shape classification techniques and discuss possible low-cost alternatives that can be used to monitor body shapes of school-aged children using camera photographs. |
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