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As the global population ages, assisted living technologies for the elderly are becoming more popular. A person normally performs activities of daily living (ADLs) on a regular basis. A person's ability to perform recurring ADLs indicates the person's wellness. Anomalies in activity patterns of a person might indicate changes in the person's wellness. A method is proposed in this paper for detecting...
Cerebral small vessel disease (SVD) is common in the elderly and is associated with loss of functional independence, institutionalization, and death. In this paper, we propose a coarse-to-fine feature selection method for accurate SVD detection and timely implementation of interventions. The proposed method first uses an Iterative Random Forest based Feature Selection (IRFFS) method to obtain the...
Prospective memory is a form of memory involving remembering to perform delayed intentions or planned actions. Prospective memory (PM) failures may lead to serious consequences. Although many PM aid systems have been developed, existing works on reminder systems only focus on individual tasks. However, people with PM difficulties (e.g., elderly) are often involved in many group tasks and it is important...
Crowdsourcing is starting to attract elderly workers and can become a possible productive aging platform to help address the shortage of manpower as a result of population aging. An important challenge emerging from this development is how to promote effective inter-generational interactions. Currently, there is little empirical data to help multi-agent systems researchers to design incentive mechanisms...
Activities of Daily Living (ADLs) are indicatives of a person's lifestyle. In particular, daily ADL routines closely relate to a person's well-being. With the objective of promoting active lifestyles, this paper presents an agent system that provides recommendations of suitable ADL plans (i.e., selected ADL sequences) to individual users based on the more active lifestyles of the others. Specifically,...
Prospective memory, the ability to remember doing future tasks without being reminded, is a critical ability in everyday life. As the elderly are vulnerable to age-related declines in prospective memory, it is important to prevent this decline in advance. In this demonstration, we develop an agent-based game for practicing prospective memory. It can potentially provide a convenient and natural way...
Crowdsourcing is a rapidly growing technology to harness human intelligence to solve problems that are not suitable for automation. It is especially suitable for consensus tasks which collect opinions from human workers to gain insight into real-world phenomena. In these tasks, motivating workers to provide their truthful opinions is a challenging problem. Most existing incentive mechanisms proposed...
The elderly often struggle when interacting with technologies. This is because the software and hardware components of the technologies are not familiar to the elderly's mental model. This is a lack of empirical studies about how the concept of familiarity can be infused into the design of interactive technology systems to bridge the digital divide preventing today's elderly people from actively engaging...
With the world population aging rapidly, improving the quality of life for senior citizens has become an important societal issue. Parkinson's Disease (PD) is one of the most debilitating neuro-degenerative disorders that seriously affect the seniors' quality of life. In recent years, video games have been shown to be a viable way through which partial rehabilitation for PD can be carried out in a...
In the age of the Internet, the elderly population may find it desirable to use online services. Unfortunately, many elderly users are not technically savvy and are vulnerable to malicious online service providers. Computational trust management systems may be a viable way to protect them, but the presence of collusion that corrupts the sources of information based on which many existing trust models...
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