An RFID-Based Reminder System for Smart Home

[[abstract]]Some people tend to forget things when they leave home for work or school. It is desired that there would be a reminder system to automatically remind people what they might have forgotten to bring along just when they step outside their home. In this paper, we present a reminder system that uses the RFID technology to detect the objects that a user brings along. The system then provide a reminder object list to the user based on the history data collected from the same user and the events in the user's calendar on that day. The list is to remind the user objects he/she might have forgotten at home. A feedback mechanism is also designed to lower the possibility of unnecessary reminding. The user can mark the objects that are not needed from the reminder object list such that these objects will not appear in the list again in the same situation. A prototype system is introduced in this paper.[[conferencetype]]國際[[conferencedate]]20110322~20110325[[conferencelocation]]Singapore, Republic of Singapor

Progress in ambient assisted systems for independent living by the elderly

One of the challenges of the ageing population in many countries is the efficient delivery of health and care services, which is further complicated by the increase in neurological conditions among the elderly due to rising life expectancy. Personal care of the elderly is of concern to their relatives, in case they are alone in their homes and unforeseen circumstances occur, affecting their wellbeing. The alternative; i.e. care in nursing homes or hospitals is costly and increases further if specialized care is mobilized to patients’ place of residence. Enabling technologies for independent living by the elderly such as the ambient assisted living systems (AALS) are seen as essential to enhancing care in a cost-effective manner. In light of significant advances in telecommunication, computing and sensor miniaturization, as well as the ubiquity of mobile and connected devices embodying the concept of the Internet of Things (IoT), end-to-end solutions for ambient assisted living have become a reality. The premise of such applications is the continuous and most often real-time monitoring of the environment and occupant behavior using an event-driven intelligent system, thereby providing a facility for monitoring and assessment, and triggering assistance as and when needed. As a growing area of research, it is essential to investigate the approaches for developing AALS in literature to identify current practices and directions for future research. This paper is, therefore, aimed at a comprehensive and critical review of the frameworks and sensor systems used in various ambient assisted living systems, as well as their objectives and relationships with care and clinical systems. Findings from our work suggest that most frameworks focused on activity monitoring for assessing immediate risks while the opportunities for integrating environmental factors for analytics and decision-making, in particular for the long-term care were often overlooked. The potential for wearable devices and sensors, as well as distributed storage and access (e.g. cloud) are yet to be fully appreciated. There is a distinct lack of strong supporting clinical evidence from the implemented technologies. Socio-cultural aspects such as divergence among groups, acceptability and usability of AALS were also overlooked. Future systems need to look into the issues of privacy and cyber security

Impact of assistive technologies in supporting people with dementia.

In recent decades, many Assistive Technologies (ATs) have been developed to promote independence among people with dementia (PWD). Although there is a high rate of AT abandonment, only a handful of studies have focused on AT usability evaluation from the user point of view. The aim of this thesis is to empirically investigate the usability of ATs from the PWD and to measure its impacts on their lives. Following the Multi-methods research approach, the first part of the thesis uses secondary research methods including literature review and systematic mapping studies. The second part uses primary research methods including interviews (N=20) and questionnaire (N=327) based surveys for data collection and requirements elicitation. The third part is based on the design, development, and testing of an assistive software application through case studies (N=8). The first mapping study categorised existing general ATs into five major categories: robotics, monitoring, reminders, communication, and software. The second mapping study categorised software-based ATs into nine categories: cognitive help, reminders, health/activity monitoring, socialization, leisure, travel help, dementia detection, dementia prevention, and rehabilitation. The qualitative results showed that most of the PWD use ATs for socialization, and highlighted user interface efficacy, tailoring individual needs, and simplified functions as the major limitations of existing ATs. The quantitative results identified eleven factors for ATs usage: operational support, physical support, psychological support, social support, cultural match, reduced external help, affordability, travel help, compatibility, effectiveness, and retention. The statistical analysis showed that improved (social, psychological and travel) support and reduced need of external help for operating ATs, greatly impact AT effectiveness and retention. Based on PWD requirements, an assistive software application named E-Community for Dementia (ECD) was developed and tested through case studies involving 8 PWD and 40 volunteers. The participants were able to get their daily needed items in less time and with a friendlier manner through the help of their neighbours. The involvement of the caregivers for medication, meals, prayers etc. reduced significantly. The painting function helped evoke their memories, and encouraged them to perform activities from their youth. The news and weather functions kept them updated about the world around them. The travel tutor guided them in safe travel outside home and made sure that they got back home independently. The enhanced interaction between the PWD and their neighbours significantly reduced their social isolation. The results support the idea to create dementia-friendly communities at street levels, which is a cost-effective and reliable solution. The major outcomes from this thesis are AT categorization, evaluation of user experiences, factor identification and ranking, user requirements elicitation, assistive software application development, and case studies. This thesis helps considerably towards empirical investigation of the impact of ATs in supporting the PWD. The implementation of the ECD contributes towards the wellbeing of the PWD and saves costs spent on caregivers and carer companies. In future, the same study could be conducted in other settings to analyse the role of culture in AT acceptance