Asif Salekin

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The Microsoft Kinect sensor has brought a new era of Natural User Interface (NUI) based gaming and the associated SDK has provided access to its powerful sensors, which can be utilized in many ways, especially in research purposes. We have already seen its use in robotics, developing assistive technologies, and augmented reality, aside from gaming.(More)
— Recently, there has been an increased use of wireless sensor networks and embedded systems in the medical sector. Healthcare providers are now attempting to use these devices to monitor patients in a more accurate and automated way. This would permit healthcare providers to have up-to-date patient information without physical interaction, allowing for(More)
In this paper we have proposed a novel method to detect the defects in woven fabric based on the abrupt changes in the intensity of fabric image due to the defects and have constructed a classification model to properly identify the defects. We have also improved an existing method based on histogram processing for the classifier. In classification model we(More)
Diaries are used to record aspects of lives --- activities, events, experiences, feelings, thoughts, and physiological measures. Smart diaries can reduce the user's burden by automatically registering some of these aspects. Existing systems have two weaknesses: (a) they are not extensible, and (b) their design is not theory-driven. We introduce LifeMaps, a(More)
Chronic kidney disease (CKD) is a major public health concern with rising prevalence. In this study we consider 24 predictive parameters and create a machine learning classifier to detect CKD. We evaluate our approach on a dataset of 400 individuals, where 250 of them have CKD. Using our approach we achieve a detection accuracy of 0.993 according to the(More)
We propose a practical solution for cloud application development using Node.js and Express library by presenting: (1) a software architecture which utilizes two standard inheritance pattern techniques, the top-down and divide and conquer approaches, to effectively organize the structure of the application for improved maintainability and extensibility in(More)
Many elderly who are suffering from dementia are also suffering from agitation. While most assisted living facilities and home health care situations rely upon caregivers to monitor and record agitation of their patients, the accuracy is limited because the caregiver must be present during the agitation and must record the event properly. Accurate 24-7 data(More)
AsthmaGuide is a smartphone and cloud based asthma system in which a smart phone is used as a hub for collecting a comprehensive collection of information. The data, including data over time, is then displayed in a cloud web application for both patients and healthcare providers to view. AsthmaGuide also provides an advice and alarm infrastructure based on(More)
Many elderly who are suffering from dementia are also suffering from agitation. While most assisted living facilities and home health care situations rely upon caregivers to monitor and record agitation of their patients, the accuracy is limited because the caregiver must be present during the agitation and must record the event properly. Accurate 24-7 data(More)
In this paper, we present MOBI-COG which is an application that runs on a mobile device, such as a tablet or a smartphone, and provides an automated and instant dementia screening service. The MOBI-COG App is a complete automation of a widely used 3-minute dementia screening test called the Mini-Cog test, which is administered by primary caregivers for a(More)