Plenum a la Mode - Augmented Reality Fashions

Inspired by ideas portrayed in science fiction, the authors sought to develop a set of augmented reality fashions that showcased scenes from a science fiction novel recently published by the principal author. The development team included artists and designers, a programmer, and the writer. Significant technical challenges needed to be overcome for success, including fabric construction and manipulation, image enhancement, robust image recognition and tracking capabilities, and the management of lighting and suitable backgrounds. Viewing geometries were also a non-trivial problem. The final solution permitted acceptable but not perfect real-time tracking of the fashion models and the visualization of both static and dynamic 3D elements overlaid onto the physical garments

Smart Garment Design for an Augmented Reality Body Mapping Experience

Based on previous work, we created wide handmade belts as support for a live augmented reality (AR) event. We describe how the garments were made to best meet the constraints of the AR design and how they were used as part of a fashion show and book promotion event. We determined the kind of features the AR software can detect and then created prototypes based on those characteristics. The belt design followed several steps: 1. Computer image preparation; 2. Thread preparation; 3. Thread dyeing; 4. Weaving; 5. Assembly; 6. Photographing the result and retouching the image. The lack of adjustability to deformation was a concern when dealing with clothing and fabric. We resolved this issue by stiffening the fabric. We discuss belts performances well during the live event; other textile techniques as substitutes (e.g. patchwork) and future research prospects

Enhancing Employability for Autistic Graduates: Using TRIZ Theory to Design Virtual Reality Solutions for Fostering Inclusive Communications in Workplace Environments

The underemployment of post-secondary graduates with autism AP-PSD is a critical concern This issue often stems from difficulties in workplace integration and communication This research explores the potential of virtual reality VR systems to alleviate these challenges by simulating work environments The methodology rooted in the TRIZ Theory a problem-solving algorithm refines the use of VR systems for enhanced adaptability and efficiency The primary objectives include enhancing employers understanding of AP-PSD-related issues and identifying significant workplace challenges faced by AP-PSDs Through literature reviews surveys and focus groups the study investigates the factors impacting AP-PSDs and identifies key components to develop a more effective VR system to support their workplace integration The research also scrutinizes existing technological adaptations that could improve situation recognition communication and understanding in the workplace Additionally the potential role of human supervision in conjunction with VR technology support for AP-PSD employees is considered The results suggest that regardless of company size supporting AP-PSDs in the workplace is a feasible goal that can enhance their wellbeing Crucially the AP-PSD s active participation in their own integration process which encompasses training human support and environmental adaptations along with the specific involvement of the human resources manager has proven vital With the right accommodations AP-PSDs can demonstrate up to 30 greater productivity than neurotypical employees offsetting accommodation costs This research emphasizes the need to blend human-centered approaches with technological innovations to boost AP-PSDs employability Though industry-specific integration details are beyond the scope of this study the results underline the potential for tailored solutions aligned with each company s unique culture The paper presents a prototype for further co-design phase

Enhancing Employability for Autistic Graduates: Using TRIZ Theory to Design Virtual Reality Solutions for Fostering Inclusive Communications in Workplace Environments

The underemployment of post-secondary graduates with autism (AP-PSD) is a critical concern. This issue often stems from difficulties in workplace integration and communication. This research explores the potential of virtual reality (VR) systems to alleviate these challenges by simulating work environments. The methodology, rooted in the TRIZ Theory, a problem-solving algorithm, refines the use of VR systems for enhanced adaptability and efficiency. The primary objectives include enhancing employers\u27 understanding of AP-PSD-related issues and identifying significant workplace challenges faced by AP-PSDs. Through literature reviews, surveys, and focus groups, the study investigates the factors impacting AP-PSDs and identifies key components to develop a more effective VR system to support their workplace integration

Harnessing Artificial Intelligence for Early and Evolution of Alzheimer’s Disease Detections and Enhancing Senior Mental Health through Innovative Art-Singing Therapies: A Multidisciplinary Approach

The well-documented therapeutic potential of group singing for patients living with Alzheimer’s disease (PLAD) has been hindered by COVID-19 restrictions, exacerbating loneliness and cognitive decline among seniors in residential and long-term care centers (CHSLDs). Addressing this challenge, the multidisciplinary study aims to develop a patient-oriented virtual reality (XR) interaction system facilitating group singing for mental health support during confinement and enhancing the understanding of the links between Alzheimer’s disease, social interaction, and singing. The researchers also propose to establish an early AD detection system using voice, facial, and non-invasive biometric measurements and validate the efficacy of selected intervention practices. The methodology involves co-designing an intelligent environment with caregivers to support PLAD mental health through online group singing, addressing existing constraints in CHSLDs. The researchers will engage volunteers in remote singing interactions and validate the impact of voice stimulation for PLADs using a control group. The primary expected outcome is the development of an “Intelligent Learning Health Environment,” fostering interactions while adapting to individual PLAD situations and incrementally accumulating knowledge on AD signs. This environment will facilitate the transfer of knowledge and technologies to promote non-verbal interactions via singing, enabling intervention at the first symptoms. Additionally, the research will contribute to transforming CHSLDs’ living environments, informed by neuroscience insights, and potentially extend the “collaborative self-care” approach to support seniors in aging safely and healthily at home

Harnessing Artificial Intelligence for Early and Evolution of Alzheimer’s Disease Detections and Enhancing Senior Mental Health through Innovative Art-Singing Therapies: A Multidisciplinary Approach

The well-documented therapeutic potential of group singing for patients living with Alzheimer’s disease (PLAD) has been hindered by COVID-19 restrictions, exacerbating loneliness and cognitive decline among seniors in residential and long-term care centers (CHSLDs). Addressing this challenge, the multidisciplinary study aims to develop a patient-oriented virtual reality (XR) interaction system facilitating group singing for mental health support during confinement and enhancing the understanding of the links between Alzheimer’s disease, social interaction, and singing. The researchers also propose to establish an early AD detection system using voice, facial, and non-invasive biometric measurements and validate the efficacy of selected intervention practices. The methodology involves co-designing an intelligent environment with caregivers to support PLAD mental health through online group singing, addressing existing constraints in CHSLDs. The researchers will engage volunteers in remote singing interactions and validate the impact of voice stimulation for PLADs using a control group. The primary expected outcome is the development of an “Intelligent Learning Health Environment,” fostering interactions while adapting to individual PLAD situations and incrementally accumulating knowledge on AD signs. This environment will facilitate the transfer of knowledge and technologies to promote non-verbal interactions via singing, enabling intervention at the first symptoms. Additionally, the research will contribute to transforming CHSLDs’ living environments, informed by neuroscience insights, and potentially extend the “collaborative self-care” approach to support seniors in aging safely and healthily at home