Research on sensor-based activity recognition has, recently, made significant progress and is attracting growing attention in a number of disciplines and application domains. However, there is a lack of high-level overview on this topic that can inform related communities of the research state of the art. In this paper, we present a comprehensive survey to examine the development and current status of various aspects of sensor-based activity recognition. We first discuss the general rationale and distinctions of vision-based and sensor-based activity recognition. Then, we review the major approaches and methods associated with sensor-based activity monitoring, modeling, and recognition from which strengths and weaknesses of those approaches are highlighted. We make a primary distinction in this paper between data-driven and knowledge-driven approaches, and use this distinction to structure our survey. We also discuss some promising directions for future research.

Sensor-Based Activity Recognition

Effectiveness of telemedicine: A systematic review of reviews

Smart wearable systems: Current status and future challenges

I am delighted to announce the exciting news that we have received just under 900 abstracts for presentation in the scientific program of the VIth World Congress on Pain in Adelaide, April l-6, 1990. This 1s about a 50% increase in the number of abstracts submitted for the 1987 Congress in Hamburg and it represents by far the greatest number of scientific papers ever offered for the an IASP Congress. This surely reflects the healthy state of IASP and is also a very encouraging indlcator of the high level of activity in basic and clinical research in the field of pain throughout the world. Based upon our previous experience with the ratio of congress delegates to scientific abstracts, the Adelaide Congresses promises to be the largest world congress on pain we have so far held.

International association for the study of pain

Ambient Intelligence (AmI) is a new paradigm in information technology aimed at empowering people's capabilities by means of digital environments that are sensitive, adaptive, and responsive to human needs, habits, gestures, and emotions. This futuristic vision of daily environment will enable innovative human-machine interactions characterized by pervasive, unobtrusive, and anticipatory communications. Such innovative interaction paradigms make AmI technology a suitable candidate for developing various real life solutions, including in the healthcare domain. This survey will discuss the emergence of AmI techniques in the healthcare domain, in order to provide the research community with the necessary background. We will examine the infrastructure and technology required for achieving the vision of AmI, such as smart environments and wearable medical devices. We will summarize the state-of-the-art artificial intelligence (AI) methodologies used for developing AmI system in the healthcare domain, including various learning techniques (for learning from user interaction), reasoning techniques (for reasoning about users' goals and intensions), and planning techniques (for planning activities and interactions). We will also discuss how AmI technology might support people affected by various physical or mental disabilities or chronic disease. Finally, we will point to some of the successful case studies in the area and we will look at the current and future challenges to draw upon the possible future research paths.

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A Survey on Ambient Intelligence in Healthcare

https://pure.ulster.ac.uk/ws/files/11226001/MULVENNA-Review_of_ICT-Based_Services_for_Identified_Unmet_Needs_in_People_with_Dementia.pdf

Review of ICT-Based Services for Identified Unmet Needs in People with Dementia

Objective: To evaluate a newly developed integrated digital prosthetic, the COGKNOW Day Navigator (CDN), to support persons with mild dementia in their daily lives, with memory, social contacts, daily activities and safety.Methods: A user participatory method was applied in the development process, which consisted of three iterative 1-year cycles with field tests in Amsterdam, Belfast and Lulea . In the successive cycles 16, 14 and 12 persons with dementia and their carers participated. Data on usability were collected by means of interviews, observations, questionnaires, logging and diaries. The CDN prototype consists of a touch screen, a mobile device, sensors and actuators.Results: The evaluation showed that persons with dementia and carers valued the CDN overall as user-friendly and useful. Conclusions regarding the effectiveness of the system in daily life were limited due to insufficient duration of the testing period caused by delays in development and some instability of the final prototype. Conclusion: With the suggested adaptations, the CDN is expected to be a useful tool for supporting community- dwelling persons with mild dementia and their carers.

Usability of a new electronic assistive device for community-dwelling persons with mild dementia.

A user driven approach to develop a cognitive prosthetic to address the unmet needs of people with mild dementia

Purpose: To develop and evaluate an information and communication technology (ICT) solution for a post-stroke Personalised Self-Managed Rehabilitation System (PSMrS). The PSMrS translates current models of stroke rehabilitation and theories underpinning self-management and self-efficacy into an ICT-based system for home-based post-stroke rehabilitation. Methods: The interdisciplinary research team applied a hybrid of health and social sciences research methods and user-centred design methods. This included a series of home visits, focus groups, in-depth interviews, cultural probes and technology biographies. Results: The iterative development of both the content of the PSMrS and the interactive interfaces between the system and the user incorporates current models of post-stroke rehabilitation and addresses the factors that promote self-managed behaviour and self-efficacy such as mastery, verbal persuasion and physiological feedback. Conclusion: The methodological approach has ensured that the int...

Developing a personalised self-management system for post stroke rehabilitation; utilising a user-centred design methodology

/pdf/review-of-ict-based-services-for-identified-unmet-needs-in-2lro0m41mo.pdf

Richard Davies

Papers

Review of ICT-Based Services for Identified Unmet Needs in People with Dementia

Usability of a new electronic assistive device for community-dwelling persons with mild dementia.

A user driven approach to develop a cognitive prosthetic to address the unmet needs of people with mild dementia

Developing a personalised self-management system for post stroke rehabilitation; utilising a user-centred design methodology

Review of ICT-based services for identified unmet needs in people with dementia