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BACKGROUND With an ever-growing ageing population, dementia is fast becoming the chronic disease of the 21st century. Elderly people affected with dementia progressively lose their autonomy as they encounter problems in their Activities of Daily Living (ADLs). Hence, they need supervision and assistance from their family members or professional caregivers,(More)
This paper presents a new approach that exploits semantic Web standards to provide a reusable middleware support for flexible event representation, query and reasoning, and standardized schemes for automated intervention triggering and activity planning to handle agitation detected in persons with dementia. The proposed context model enables the development(More)
Pressure ulcers are common problems for bedridden patients. Caregivers need to reposition the sleeping posture of a patient every two hours in order to reduce the risk of getting ulcers. This study presents the use of Kurtosis and skewness estimation, principal component analysis (PCA) and support vector machines (SVMs) for sleeping posture classification(More)
In pervasive computing environments, understanding the context of an entity is essential for adapting the application behavior to changing situations. In our view, context is a high-level representation of a user or entity's state and can capture location, activities, social relationships, capabilities, etc. Inherently, however, these high-level context(More)
Sleeping posture reveals important information for eldercare and patient care, especially for bed ridden patients. Traditionally, some works address the problem from either pressure sensor or video image. This paper presents a multimodal approach to sleeping posture classification. Features from pressure sensor map and video image have been proposed in(More)
As part of a sleep monitoring project, we used actigraphy based on body-worn accelerometer sensors to remotely monitor and study the sleep-wake cycle of elderly staying at nursing homes. We have conducted a fifteen patient trial of a sleep activity pattern monitoring (SAPM) system at a local nursing home. The data was collected and stored in our server and(More)
Sensor networks which react to the state of phenomena they are monitoring are becoming increasingly important These networks are expected to execute additional queries or applications when the state of monitored phenomena is changing and, in general, have a dynamic set of applications deployed. In these kinds of networks resource management becomes an(More)
Rehabilitation with physical therapy exercises is important to maintain and regain desirable physical strength to patients who underwent surgery or suffer temporary physical impairments. This process generally requires the patient to perform exercises regularly and correctly with assistance from therapist at a rehabilitation clinic. But this approach(More)
This paper presents the method for the detection and localization of moving targets in passive infrared (PIR) sensor networks in both indoor and outdoor settings. It reports our design and implementation of PIR sensor network, especially, we proposed a detection algorithm, which uses adaptive threshold with constant false alarm rate; and developed a(More)