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Physical inactivity is an important contributor to non-communicable diseases in countries of high income, and increasingly so in those of low and middle income. Physical inactivity is the leading cause of many diseases. It has been estimated that as many as 250,000 deaths per year in the United States, approximately 12% of the total, are attributable to a lack of regular physical activity. Measuring...
Implantable Medical Devices (IMDs) have been widely used to treat chronic diseases such as cardiac arrhythmia and diabetes. Many IMDs are enabled with wireless communication capabilities and can communicate with an outside programmer/reader wirelessly. With the rapid growth of IMDs, IMD security becomes a critical issue since attacks on IMDs may directly harm the patient. Typical IMDs have very limited...
In this paper we addresses the problem of human action recognition by introducing a new representation of image sequences as a collection of spatiotemporal events that are localized at interest point and using multi-class SVM for classification. The interest points are detected by the SIFT detector and a spatio-temporal interest point detector. We proposed a new bag of words approach to represent...
To increase the accuracy of Electrical Impedance Scanning Imaging (EISI) on inspecting breast diseases, reduce the false positive and false negative, we propose a method to use Independent Component Analysis (ICA) to extract features from the original admittance data of EISI equipments. Combined with Support Vector Machine (SVM) as classifier, the proposed method could inspect breast diseases and...
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