2014
DOI: 10.3390/s140507831 View full text |Buy / Rent full text
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Abstract: This paper presents a multimodal system for seamless surveillance of elderly people in their living environment. The system uses simultaneously a wearable sensor network for each individual and premise-embedded sensors specific for each environment. The paper demonstrates the benefits of using complementary information from two types of mobility sensors: visual flow-based image analysis and an accelerometer-based wearable network. The paper provides results for indoor recognition of several elementary poses an… Show more

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“…Many classification methods were developed in the literature [29][30][31][32][33][34][35][36][37][38][39][40][41][42][43][44][45]. Author selected Bayes classifier [6].…”
Section: Bayes Classifiermentioning
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“…Many classification methods were developed in the literature [29][30][31][32][33][34][35][36][37][38][39][40][41][42][43][44][45]. Author selected Bayes classifier [6].…”
Section: Bayes Classifiermentioning
“…Scientists proposed many methods of classification in the literature [2,4,7,9,16,17,21,23,26,[31][32][33][34]. Linear Support Vector Machine (LSVM) classified feature vectors by finding the best hyperplane that separated all vectors of one class from those of the other class.…”
Section: Linear Support Vector Machinementioning
“…Supporting or even replacing human in performing tedious and tiring tasks, such as watching security video streams, is essential requirement in designing a robust surveillance equipment. Cur- Current research focuses on many aspects of the video surveillance, ranging from the moving object detection and tracking [9,15] to object and event recognition or behavioral analysis [1,12]. One of the important aspects of video monitoring is effective presentation of an information relevant to the human operator (a semantic message visualization), so he/she can approve results produced by 30 J. Przybyło M. Jabłoński a video surveillance system.…”
Section: Introductionmentioning