INSPIRE Newsletter Fall 2020

https://scholarsmine.mst.edu/inspire-newsletters/1007/thumbnail.jp

A gamification framework demonstrating a complete cycle of vehicle driver performance evaluation

Training through a gamified environment motivates the users in achieving optimal outcome and reduces the complexity of learning by adding factor of entertainment in it. The deployment of serious games in automotive industry is a major leap in technological grounds, as it\u2019s a best way to inculcate safe driving patterns to reduce the fatalities and enhance resource usage which includes car accessories and fuel. The Ph.D. thesis represents Gamification platform aimed to Green Mobility and Safe Driving

IoT Applications Computing

The evolution of emerging and innovative technologies based on Industry 4.0 concepts are transforming society and industry into a fully digitized and networked globe. Sensing, communications, and computing embedded with ambient intelligence are at the heart of the Internet of Things (IoT), the Industrial Internet of Things (IIoT), and Industry 4.0 technologies with expanding applications in manufacturing, transportation, health, building automation, agriculture, and the environment. It is expected that the emerging technology clusters of ambient intelligence computing will not only transform modern industry but also advance societal health and wellness, as well as and make the environment more sustainable. This book uses an interdisciplinary approach to explain the complex issue of scientific and technological innovations largely based on intelligent computing

Self-regulating Physical and Mental Activities: Intensive Longitudinal Intervention Studies of Physical Fitness and Happiness

Being active is a primary necessity in life, but it is also an essential part of what makes life worth living. This thesis explored goal pursuit activities people might not experience as pleasant in the moment, but where the self-chosen activities are still considered good and worthwhile. We hypothesized that online self-regulation interventions would be effective in increasing effortful physical and mental activities and that a distinction between hedonic and eudaimonic conceptions of wellbeing would be evident in different stages of goal pursuit. Three papers, building on data from two studies, are presented. In Paper I, the effect of an online intervention for increasing physical activity, named Lifestyle Tool, was tested in a longitudinal study spanning three months. In Paper II, using global measures from a second study, we investigated the reciprocal effects of different wellbeing dimensions and goal pursuit stages before and after an intervention week. In Paper III, we used the experience sampling measures from the second study, and tested the assumption that HWB and EWB reflect two different dimensions of wellbeing and examined differences in emotions from goal pursuit interventions indicating discriminant validity. The results showed that online interventions helped participants self-regulate physical and mental activities. Furthermore, a duality between hedonic wellbeing (HWB) and eudaimonic wellbeing (EWB) were evident in the goal pursuit process: while EWB ignited and sustained wellbeing in effortful goal pursuits, HWB was more related to the outcome phase, rewarding goal achievement. Congruent findings from different analyses also supported convergent and discriminant validity of HWB and EWB as separate constructs. Interventions that help people self-regulate benefit actions viewed as good and conducive to physical and mental health, even though they are not always experienced as pleasant

Enhanced bicasting and buffering

Includes abstract. Includes bibliographical references

New Approach of Indoor and Outdoor Localization Systems

Accurate determination of the mobile position constitutes the basis of many new applications. This book provides a detailed account of wireless systems for positioning, signal processing, radio localization techniques (Time Difference Of Arrival), performances evaluation, and localization applications. The first section is dedicated to Satellite systems for positioning like GPS, GNSS. The second section addresses the localization applications using the wireless sensor networks. Some techniques are introduced for localization systems, especially for indoor positioning, such as Ultra Wide Band (UWB), WIFI. The last section is dedicated to Coupled GPS and other sensors. Some results of simulations, implementation and tests are given to help readers grasp the presented techniques. This is an ideal book for students, PhD students, academics and engineers in the field of Communication, localization & Signal Processing, especially in indoor and outdoor localization domains

The Multimodal Tutor: Adaptive Feedback from Multimodal Experiences

This doctoral thesis describes the journey of ideation, prototyping and empirical testing of the Multimodal Tutor, a system designed for providing digital feedback that supports psychomotor skills acquisition using learning and multimodal data capturing. The feedback is given in real-time with machine-driven assessment of the learner's task execution. The predictions are tailored by supervised machine learning models trained with human annotated samples. The main contributions of this thesis are: a literature survey on multimodal data for learning, a conceptual model (the Multimodal Learning Analytics Model), a technological framework (the Multimodal Pipeline), a data annotation tool (the Visual Inspection Tool) and a case study in Cardiopulmonary Resuscitation training (CPR Tutor). The CPR Tutor generates real-time, adaptive feedback using kinematic and myographic data and neural networks