Catherine E Slavik, Niko Yiannakoulias, Robert Wilton, Fran Scott
An Exploratory Study on the Impacts of Individual Skills and Health Information Exposure on Perceptions of Cancer Control and Expert Competence
Journal of cancer education : the official journal of the American Association for Cancer Education
order solve difficult portability problem traditional noninvasive sleeping posture recognition algorithms arising production cost computational cost paper proposes sleeping posture recognition model focusing human body structural feature extraction integration feature space algorithms based specific airspring mattress structure called sprde sprde sleep posture recognitiondata ensemble acronym form model combines smr smr stands principle spearman maximal relevance horizontal vertical division based barometric pressure signals human bodys backbone region reconstruct raw pressure data strongly correlated nonimage features sleep postures different parts directions construct feature set finally recognition two sleep postures accomplished using adaboostsvm integrated classifier sprde compared base integrated classifiers verify performance experimental results show amount significant features helps algorithm classify different sleeping patterns accurately f1 score sprde model determined comparison experiments 0998 accuracy reach 999 compared models accuracy improved 29 77 f1score improved 0029 0076 therefore concluded smr feature extraction strategy sprde model adaboostsvm achieve high accuracy strong robustness task sleep posture recognition small area lowdensity airpressure mattress taking account comfort mattress structural design sleep posture recognition integrated mattress adaptive adjustment system