Design and Development of ReMoVES Platform for Motion and Cognitive Rehabilitation

Exergames have recently gained popularity and scientific reliability in the field of assistive computing technology for human well-being. The ReMoVES platform, developed by the author, provides motor and cognitive exergames to be performed by elderly or disabled people, in conjunction with traditional rehabilitation. Data acquisition during the exercise takes place through Microsoft Kinect, Leap Motion and touchscreen monitor. The therapist is provided with feedback on patients' activity over time in order to assess their weakness and correct inaccurate movement attitudes. This work describes the technical characteristics of the ReMoVES platform, designed to be used by multiple locations such as rehabilitation centers or the patient's home, while providing a centralized data collection server. The system includes 15 exergames, developed from scratch by the author, with the aim of promoting motor and cognitive activity through patient entertainment. The ReMoVES platform differs from similar solutions for the automatic data processing features in support of the therapist. Three methods are presented: based on classic data analysis, on Support Vector Machine classification, and finally on Recurrent Neural Networks. The results describe how it is possible to discern patient gaming sessions with adequate performance from those with incorrect movements with an accuracy of up to 92%. The system has been used with real patients and a data database is made available to the scientific community. The aim is to encourage the dissemination of such data to lay the foundations for a comparison between similar studies

New techniques for neuro-rehabilitation: Transcranial Electric Stimulation and Virtual Reality

Recovery of motor and cognitive performances after a neurological illness remains a significant challenge for rehabilitation specialists. The traditional rehabilitative interventions are usually delivered using a multidisciplinary approach, whose results are not always satisfactory. These limitations in functional recovery have led researchers to consider alternative approaches. The hypothesis of providing new therapeutic possibilities in the different patients treated is, as a rehabilitator, very rewarding and represents a challenge for the future. The application of simple and low-cost techniques, defined by the literature as "unconventional" or “novel”, can provide new ideas not only in the field of research but above all of application in clinical reality.A suitable approach to improve the rehabilitation outcome is to utilize these novel rehabilitation techniques that act as a substitute or an addition to the traditional ones. In this context, some recent approaches have been proposed that might increase the effectiveness of a traditional treatment. Among them, two techniques have been demonstrated to be very promising, namely non-invasive brain stimulation (NIBS) and Virtual Reality (VR).In light of the foregoing, my thesis has been divided into two main lines of research, namely: a) the study of the effects of transcranial direct current stimulation (tDCS) in different neurological conditions; b) the application of VR (used alone or combined with tDCS) in the treatment of some neurocognitive disorders. A semi-immersive VR tool (ReMOVES system) has been used as a user-friendly platform providing activities based on exergames

A computational approach to gestural interactions of the upper limb on planar surfaces

There are many compelling reasons for proposing new gestural interactions: one might want to use a novel sensor that affords access to data that couldn’t be previously captured, or transpose a well-known task into a different unexplored scenario. After an initial design phase, the creation, optimisation or understanding of new interactions remains, however, a challenge. Models have been used to foresee interaction properties: Fitts’ law, for example, accurately predicts movement time in pointing and steering tasks. But what happens when no existing models apply? The core assertion to this work is that a computational approach provides frameworks and associated tools that are needed to model such interactions. This is supported through three research projects, in which discriminative models are used to enable interactions, optimisation is included as an integral part of their design and reinforcement learning is used to explore motions users produce in such interactions

Enhancing participation and performance in physical activity through primary level physical education- The role of physical literacy

Overall, this thesis provides a number of evidence-based studies to address the requirements and methods through which physical skills are developed and assessed in primary school children. With practical requirements at the fore, this work serves to aid teachers and educators in delivering a standardised, evidence based curricula of comprehensive physical education. Additionally, the thesis raises questions about the adequacy of existing theory, policy and practices that lack the empirical validation and offers a useful insight into how this might be rectified in the future

Flexible Virtual Reality System for Neurorehabilitation and Quality of Life Improvement

As life expectancy is mostly increasing, the incidence of many neurological disorders is also constantly growing. For improving the physical functions affected by a neurological disorder, rehabilitation procedures are mandatory, and they must be performed regularly. Unfortunately, neurorehabilitation procedures have disadvantages in terms of costs, accessibility and a lack of therapists. This paper presents Immersive Neurorehabilitation Exercises Using Virtual Reality (INREX-VR), our innovative immersive neurorehabilitation system using virtual reality. The system is based on a thorough research methodology and is able to capture real-time user movements and evaluate joint mobility for both upper and lower limbs, record training sessions and save electromyography data. The use of the first-person perspective increases immersion, and the joint range of motion is calculated with the help of both the HTC Vive system and inverse kinematics principles applied on skeleton rigs. Tutorial exercises are demonstrated by a virtual therapist, as they were recorded with real-life physicians, and sessions can be monitored and configured through tele-medicine. Complex movements are practiced in gamified settings, encouraging self-improvement and competition. Finally, we proposed a training plan and preliminary tests which show promising results in terms of accuracy and user feedback. As future developments, we plan to improve the system's accuracy and investigate a wireless alternative based on neural networks.Comment: 47 pages, 20 figures, 17 tables (including annexes), part of the MDPI Sesnsors "Special Issue Smart Sensors and Measurements Methods for Quality of Life and Ambient Assisted Living

The feasibility and potential effectiveness of a conventional and exergame intervention to alter balance-related outcomes including fall risk: a mixed methods study

Introduction: Fall risk, occurrence and injury is increasing as the world ages, and Africa and other emerging regions will not be spared. Similarly, the rise of noncommunicable diseases, compressed morbidity and lack of physical activity present major challenges. This novel feasibility study explored the use of an exergaming technology compared with a conventional, evidence-based exercise programme (Otago Exercise Programme) to reduce fall risk by improving balance, and to inform a large-scale randomised control trial. Methodology: Mixed methods study in independent older adults with established fall risk. The quantitative component employed feasibility RCT methodology. Cluster randomisation assigned interventions to sites. Single blinding was used. Both interventions were offered for six months. A variety of balance-related endpoints (e.g., Timed Up and Go, Dynamic Gait Index, Mini-BESTest) were used to find the most applicable. Patient-centred variables included questionnaires regarding depression, physical activity levels, quality of life and estimates of self-efficacy for exercise. Qualitative focus groups explored participants' experiences of falls and the exergaming intervention using a phenomenology lens. Results: Site and participant recruitment was simple and readily achievable, with low numbers need to screen required. Eligibility criteria were confirmed and more added. Adherence and attrition were major challenges. Cluster randomisation appeared to exacerbate between-group differences at baseline. The exergaming intervention produced preliminary evidence in its favour, with results approaching Minimal Clinically Important Difference compared with the evidence-based intervention. The experience of the exergaming intervention was regarded as positive by focus group participants. Barriers and facilitators are reported. Discussion: Methodological issues in the literature have prevented firm consensus on the use of exergaming in falls prevention, although studies are abundant. The current study used rigorous methodology in the novel context of a developing region, which offers numerous challenges for older adults. Implications for a large-scale, fully funded RCT are discussed. Lessons learned can be used to scale up service delivery for an under-served population; and promote the aim of well-being for all at all ages