Relationships between Cognitive Functioning and Powered Mobility Device Use: A Scoping Review

Background. Powered mobility devices (PMD) promote independence, social participation, and quality of life for individuals with mobility limitations. However, some individuals would benefit from PMD, but may be precluded access. This is particularly true for those with cognitive impairments who may be perceived as unsafe and unable to use a PMD. This study explored the relationships between cognitive functioning and PMD use. The objectives were to identify cognitive functions necessary to use a PMD and describe available PMD training approaches. Methods. A scoping review was undertaken. Results. Seventeen studies were included. Four examined the predictive or correlational relationships between cognitive functioning and PMD use outcomes with intellectual functions, visual and visuospatial perception, attention, abstraction, judgement, organization and planning, problem solving, and memory identified as having a relation with PMD use outcome in at least one study. Thirteen others studied the influence of PMD provision or training on users’ PMD capacity and cognitive outcomes and reported significative improvements of PMD capacities after PMD training. Six studies found improved cognitive scores after PMD training. Conclusions. Cognitive functioning is required to use a PMD. Individuals with heterogeneous cognitive impairment can improve their PMD capacities. Results contribute to advancing knowledge for PMD provision.

A Study on the Application of LSTM to Judge Bike Accidents for Inflating Wearable Airbags

The traffic accident occurrence rate is increasing relative to the increase in the number of people using personal mobility device (PM). This paper proposes an airbag system with a more efficient algorithm to decide the deployment of a wearable bike airbag in case of an accident. The existing wearable airbags are operated by judging the accident situations using the thresholds of sensors. However, in this case, the judgment accuracy can drop against various motions. This study used the long short-term memory (LSTM) model using the sensor values of the inertial measurement unit (IMU) as input values to judge accident occurrences, which obtains data in real time from the three acceleration-axis and three angular velocity-axis sensors on the driver motion states and judges whether or not an accident has occurred using the obtained data. The existing neural network (NN) or convolutional neural network (CNN) model judges only the input data. This study confirmed that this model has a higher judgment accuracy than the existing NN or CNN by giving strong points even in “past information” through LSTM by regarding the driver motion as time-series data.

The impact of a power mobility device on occupational participation and quality of life for people with chronic diseases: A scoping review

Introduction The aim was to explore occupational participation and quality of life (QoL) for power mobility device users with chronic disease. Methods Arksey and O’Malley’s framework for scoping reviews was used. Six data bases were searched using keywords: wheelchair, scooter, QoL and participation. Data were extracted with coding and thematic analysis performed. Results Forty-one articles met the inclusion criteria. An overarching theme of enhanced QoL was identified with subthemes of (i) independence, (ii) enabling participation in instrumental activities of daily living, (iii) enhanced social participation and leisure, (iv) environmental barriers to occupational participation, (vi) power mobility device (PMD) performance concerns impacting occupational participation and (vii) overcoming risk of harm through PMD training. Conclusion The scoping review identified a heterogeneity of study designs and outcome measures, which makes comparison between studies difficult. For people with chronic diseases, PMDs improve independence in occupational participation, particularly in IADL, social participation and leisure. Unfortunately, improved QoL was often inferred, without the use of an outcome measure. Areas which impacted occupational participation for PMD users were environmental barriers and a lack of PMD training. Further research is needed to understand the impact of a PMD on QoL and occupational participation for those with chronic disease.

Investigating user perspectives on mixed-reality games for people who drive mobility devices.

Video games are not being designed to address the needs of the disabled user. As a result, people with mobility disabilities are being left out of game play experiences. As the population ages, more and more people will require mobility devices such as powered wheelchairs and scooters to support their mobility needs. This thesis explores the types of games mobility device users would like to play using their input to influence game development. Past gaming and play experiences are explored as a component useful to the production of a new game design. A Crowdsourcing technique called, an Idea Jam, is used to collect the data relevant to the game design. The Idea Jam for mobility games explores the type of game genres and functionality (game objectives, characters, input/output, audience integration and rewards) mobility device users would be willing to consider in a game and why. It also explores the impact of having users participate at early stages of game design on the actual functionality and development of an actual mobility game. The main findings show that Crowdsourcing is a viable method for collecting data on game development that mobility device embodiment plays a role in the way people view games and that people with mobility devices can impact game design at the beginning stages of development.