Fall prevention intervention technologies: A conceptual framework and survey of the state of the art

In recent years, an ever increasing range of technology-based applications have been developed with the goal of assisting in the delivery of more effective and efficient fall prevention interventions. Whilst there have been a number of studies that have surveyed technologies for a particular sub-domain of fall prevention, there is no existing research which surveys the full spectrum of falls prevention interventions and characterises the range of technologies that have augmented this landscape. This study presents a conceptual framework and survey of the state of the art of technology-based fall prevention systems which is derived from a systematic template analysis of studies presented in contemporary research literature. The framework proposes four broad categories of fall prevention intervention system: Pre-fall prevention; Post-fall prevention; Fall injury prevention; Cross-fall prevention. Other categories include, Application type, Technology deployment platform, Information sources, Deployment environment, User interface type, and Collaborative function. After presenting the conceptual framework, a detailed survey of the state of the art is presented as a function of the proposed framework. A number of research challenges emerge as a result of surveying the research literature, which include a need for: new systems that focus on overcoming extrinsic falls risk factors; systems that support the environmental risk assessment process; systems that enable patients and practitioners to develop more collaborative relationships and engage in shared decision making during falls risk assessment and prevention activities. In response to these challenges, recommendations and future research directions are proposed to overcome each respective challenge.The Royal Society, grant Ref: RG13082

A virtual reality game for cognitive impairment screening in the elderly: a user perspective

Today, there are 50 million people who have dementia worldwide, that is a new case every3 seconds and more than 152 million cases expected in 2050. Aging-related morbidity is a real social problem making screening a significant challenge. Early diagnosis and management would improve the quality of life offered to the patient and those around him and reduce the economic and social consequences of dementia. The traditional paper-and-pencil approach does not sufficiently reflect the daily reality of the person and what they can accomplish. So, we designed our own VR environment as a candidate solution to the problem

Augmented Reality Action Assistance and Learning for Cognitively Impaired People. A Systematic Literature Review

Blattgerste J, Renner P, Pfeiffer T. Augmented Reality Action Assistance and Learning for Cognitively Impaired People. A Systematic Literature Review. In: The 12th PErvasive Technologies Related to Assistive Environments Conference (PETRA ’19). New York, NY, USA: ACM; 2019.Augmented reality (AR) is a promising tool for many situations in which assistance is needed, as it allows for instructions and feedback to be contextualized. While research and development in this area have been primarily driven by industry, AR could also have a huge impact on those who need assistance the most: cognitively impaired people of all ages. In recent years some primary research on applying AR for action assistance and learning in the context of this target group has been conducted. However, the research field is sparsely covered and contributions are hard to categorize. An overview of the current state of research is missing. We contribute to filling this gap by providing a systematic literature review covering 52 publications. We describe the often rather technical publications on an abstract level and quantitatively assess their usage purpose, the targeted age group and the type of AR device used. Additionally, we provide insights on the current challenges and chances of AR learning and action assistance for people with cognitive impairments. We discuss trends in the research field, including potential future work for researchers to focus on

Surveying Persons with Disabilities: A Source Guide (Version 1)

As a collaborator with the Cornell Rehabilitation Research and Training Center on Disability Demographics and Statistics, Mathematica Policy Research, Inc. has been working on a project that identifies the strengths and limitations in existing disability data collection in both content and data collection methodology. The intended outcomes of this project include expanding and synthesizing knowledge of best practices and the extent existing data use those practices, informing the development of data enhancement options, and contributing to a more informed use of existing data. In an effort to provide the public with an up-to-date and easily accessible source of research on the methodological issues associated with surveying persons with disabilities, MPR has prepared a Source Guide of material related to this topic. The Source Guide contains 150 abstracts, summaries, and references, followed by a Subject Index, which cross references the sources from the Reference List under various subjects. The Source Guide is viewed as a “living document,” and will be periodically updated

Visualization and Interaction Technologies in Serious and Exergames for Cognitive Assessment and Training: A Survey on Available Solutions and Their Validation

Exergames and serious games, based on standard personal computers, mobile devices and gaming consoles or on novel immersive Virtual and Augmented Reality techniques, have become popular in the last few years and are now applied in various research fields, among which cognitive assessment and training of heterogeneous target populations. Moreover, the adoption of Web based solutions together with the integration of Artificial Intelligence and Machine Learning algorithms could bring countless advantages, both for the patients and the clinical personnel, as allowing the early detection of some pathological conditions, improving the efficacy and adherence to rehabilitation processes, through the personalisation of training sessions, and optimizing the allocation of resources by the healthcare system. The current work proposes a systematic survey of existing solutions in the field of cognitive assessment and training. We evaluate the visualization and interaction technologies commonly adopted and the measures taken to fulfil the need of the pathological target populations. Moreover, we analyze how implemented solutions are validated, i.e. The chosen experimental designs, data collection and analysis. Finally, we consider the availability of the applications and raw data to the large community of researchers and medical professionals and the actual application of proposed solutions in the standard clinical practice. Despite the potential of these technologies, research is still at an early stage. Although the recent release of accessible immersive virtual reality headsets and the increasing interest on vision-based techniques for tracking body and hands movements, many studies still rely on non-immersive virtual reality (67.2%), mainly mobile and personal computers, and standard gaming tools for interactions (41.5%). Finally, we highlight that although the interest of research community in this field is increasingly higher, the sharing of dataset (10.6%) and implemented applications (3.8%) should be promoted and the number of healthcare structures which have successfully introduced the new technological approaches in the treatment of their host patients is limited (10.2%)

The benefits of emotional stimuli in a virtual reality cognitive and motor rehabilitation task: assessing the impact of positive, negative and neutral stimuli with stroke patients

VR-based methods for stroke rehabilitation have mainly focused on motor rehabilitation, but there is increasing interest towards the integration of cognitive training for providing more ecologically valid solutions. However, more studies are needed, especially in the definition of which type of content should be used in the design of these tools. One possibility is the use of emotional stimuli, which are known to enhance attentional processes. According to the Socio-emotional Selectivity Theory, as people age, this emotional salience arises for positive and neutral, but not for negative stimuli. Conversely, negative stimuli can be better remembered. In this study, we investigated the impact of using emotional stimuli with positive, negative and neutral valence in a VR cognitive and motor attention task. Ten stroke patients participated in a within subjects experiment with four conditions based on the type of stimuli: abstract (control condition), positive, negative and neutral. The main task consisted of finding a target stimulus, shown for only two seconds, among fourteen neutral distractors. Eye movements were recorded with an eye-tracking system to investigate differences between conditions and in search patterns. Subsequently, a recall task took place and the patients had to identify all the target images among a valence-matched number of distractors. Our results corroborate the attention salience effect of positive and neutral stimuli in the VR task performance. Although we found no statistically significant differences between conditions in the recall task, there was a trend for recalling more negative images. This negative advantage comes at the expense of significantly more wrongly identified images/false memories for negative stimuli. Finally, we performed an analysis in which we relate performance scores with well-established cognitive assessment instruments, which supportsG the use of this approach both for assessment and rehabilitation purposes.info:eu-repo/semantics/publishedVersio