TY - JOUR AU - Jordi Esquirol AU - Cristina Palmero AU - Vanessa Bayo AU - Miquel Angel Cos AU - Sergio Escalera AU - David Sanchez AU - Maider Sanchez AU - Noelia Serrano AU - Mireia Relats PY - 2017// TI - Automatic RBG-depth-pressure anthropometric analysis and individualised sleep solution prescription N2 - INTRODUCTION:Sleep surfaces must adapt to individual somatotypic features to maintain a comfortable, convenient and healthy sleep, preventing diseases and injuries. Individually determining the most adequate rest surface can often be a complex and subjective question.OBJECTIVES:To design and validate an automatic multimodal somatotype determination model to automatically recommend an individually designed mattress-topper-pillow combination.METHODS:Design and validation of an automated prescription model for an individualised sleep system is performed through a single-image 2 D-3 D analysis and body pressure distribution, to objectively determine optimal individual sleep surfaces combining five different mattress densities, three different toppers and three cervical pillows.RESULTS:A final study (n = 151) and re-analysis (n = 117) defined and validated the model, showing high correlations between calculated and real data (>85% in height and body circumferences, 89.9% in weight, 80.4% in body mass index and more than 70% in morphotype categorisation).CONCLUSIONS:Somatotype determination model can accurately prescribe an individualised sleep solution. This can be useful for healthy people and for health centres that need to adapt sleep surfaces to people with special needs. Next steps will increase model's accuracy and analise, if this prescribed individualised sleep solution can improve sleep quantity and quality; additionally, future studies will adapt the model to mattresses with technological improvements, tailor-made production and will define interfaces for people with special needs. UR - http://dx.doi.org/10.1080/03091902.2017.1350761 N1 - HUPBA; no menciona ID - Jordi Esquirol2017 ER -