A Study Based on Advancements in Smart Mirror Technology

Smart mirror fashion technology for the retail chain transformation

Abstract: As the digitalisation of businesses continues to change customers’ purchasing habits, brick-and-mortar retail SMEs (Small and Medium Enterprises) are confronted with unprecedented challenges. The proliferation of e-commerce and digital businesses is not only changing the rules of business but disrupting them by introducing new possibilities, especially with the integration of new technology. Studies that have attempted to measure technology-based service quality in retail settings are limited to online service experiences, creating a significant gap in the literature. The primary purpose of this paper is to explore how the service quality of brick-and-mortar clothing retail chains can be improved using innovative technology such as smart mirror fashion technology (SMFT), something academic research has not yet specifically addressed. This study used a qualitative approach with Soft System Methodology (SSM), based upon interviews triangulated with observations and field notes. It focused on the top five UK clothing retail chains, measured by market capitalisation. We found that the quality of service received is currently perceived as low when compared to customers’ expectations; however, use of technology enhanced service quality and influenced customer satisfaction. There was a positive relationship between service quality, customer satisfaction and the use of SMFT. The contribution of this study lies in the development of a new framework that integrates SMFT with traditional in-store transaction processes, resulting in improvements in service delivery and managerial practices of the offline clothing retail service providers. The study concludes that embracing SMFT can help provide high-quality service, creating value for customers.

The SHAPES Smart Mirror Approach for Independent Living, Healthy and Active Ageing

Abstract: The benefits that technology can provide in terms of health and support for independent living are in many cases not enough to break the barriers that prevent older adults from accepting and embracing technology. This work proposes a hardware and software platform based on a smart mirror, which is equipped with a set of digital solutions whose main focus is to overcome older adults’ reluctance to use technology at home and wearable devices on the move. The system has been developed in the context of two use cases: the support of independent living for older individuals with neurodegenerative diseases and the promotion of physical rehabilitation activities at home. Aspects such as reliability, usability, consumption of computational resources, performance and accuracy of the proposed platform and digital solutions have been evaluated in the initial stages of the pilots within the SHAPES project, an EU-funded innovation action. It can be concluded that the SHAPES smart mirror has the potential to contribute as a technological breakthrough to overcome the barriers that prevent older adults from engaging in the use of assistive technologies.

Emotion recognition deficit in schizophrenia: association with symptomatology and cognition.

Abstract: Background: Previous investigations have found impaired recognition of facial affect in schizophrenia. Controversy exists as to whether this impairment represents a specific emotion recognition deficit when compared with other face recognition control tasks. Regardless of whether the emotion processing deficit is differential, it may uniquely influence other manifestations of schizophrenia. We compared patients and healthy control subjects on computerized tasks of emotion and age recognition. Performances on emotion and age recognition tasks were correlated with cognitive functioning and with symptomatology. Methods: Thirty-five patients with schizophrenia and 45 healthy people underwent computerized testing for emotion and age recognition. Participants were assessed neuropsychologically, and patients were rated for positive and negative symptoms. Results: The patients with schizophrenia performed worse than control subjects on emotion and age recognition without differential deficit. In both groups, we found higher error rates for identification of emotion in female faces and for identification of sad versus happy faces. In schizophrenic patients, emotion but not age recognition correlated with severity of negative and positive symptoms. In healthy control subjects, neither task correlated with cognitive functions. In schizophrenic patients, emotion but not age recognition correlated with attention, verbal and spatial memory, and language abilities. Conclusions: This study did not reveal a specific deficit for emotion recognition in schizophrenia; however, our findings lend support to the concept that emotion recognition is uniquely associated in schizophrenia with core symptomatology and cognitive domains.

Smart health monitoring systems: an overview of design and modeling.

Abstract: Health monitoring systems have rapidly evolved during the past two decades and have the potential to change the way health care is currently delivered. Although smart health monitoring systems automate patient monitoring tasks and, thereby improve the patient workflow management, their efficiency in clinical settings is still debatable. This paper presents a review of smart health monitoring systems and an overview of their design and modeling. Furthermore, a critical analysis of the efficiency, clinical acceptability, strategies and recommendations on improving current health monitoring systems will be presented. The main aim is to review current state of the art monitoring systems and to perform extensive and an in-depth analysis of the findings in the area of smart health monitoring systems. In order to achieve this, over fifty different monitoring systems have been selected, categorized, classified and compared. Finally, major advances in the system design level have been discussed, current issues facing health care providers, as well as the potential challenges to health monitoring field will be identified and compared to other similar systems.

Augmented Rendering of Makeup Features in a Smart Interactive Mirror System for Decision Support in Cosmetic Products Selection

Abstract: We propose a smart mirror system to display an augmented 3D representation of the user with makeup features. In this approach the user is able to view the possible outcomes of different makeup applications in the smart mirror without affecting the real face appearance in the process. The system incorporates 3D face construction, IR based face tracking and OpenGL material extensive rendering approach to deliver the augmented made-up face. We argue that by viewing the augmented grooming features the users will be able to flexibly decide the makeup products of their choice.

Design of the Smart Mirror Based on Raspberry PI

Abstract: The Smart Mirror based on traditional household mirror belongs to home automation system to meet consumers' needs towards intelligent life. It provides occupants with a series of intelligent experiences such as home appliance control, information acquisition, environmental monitoring, entertainment and remote operation. The intelligent home control platform - The Smart Mirror is designed to solve the problem of smart home communication and information integration in the family. Based on the development of Raspberry Pie, unidirectional mirror and the infrared frame and other hardware devices, the smart mirror, as a mirror display screen, offeres a kind of safer, more comfortable, more conveniently, more swift and open intelligent, information-based living space to household in the intellectual district.

Voice Controlled Smart Mirror with Multifactor Authentication

Abstract: Internet of Things, Smart Home, and Smart Cities have become hot topics in recent years. The development of these areas grows spirally due to the emergence of advanced smart devices. Smart mirrors are a new addition to the smart home family that has been getting a lot of attention nowadays by both commercial manufacturers and academia. This paper describes how a Raspberry Pi device can be used to enhance such mirrors with intelligence and security. The goal is to develop a cost effective intelligent mirror system that not only works as a regular mirror, but also be able to display various kinds of information, such as weather, time and location, current events, and users. The mirror can provide multimedia services while ensuring high end security across the entire system.