Abstract

Homecare systems for elderly people are becoming increasingly important due to both economic reasons as well as patients’ preferences. Sensor-based surveillance technologies are an expected future trend, but research so far has devoted little attention to the User Interface (UI) design of such systems and the user-centric design approach. In this paper, we explore the possibilities of an avatar-based 3D visualization system, which exploits wearable sensors and human activity simulations. We present a technical prototype and the evaluation of alternative concept designs for UIs based on a 3D virtual world. The evaluation was conducted with homecare providers through focus groups and an online survey. Our results show firstly that systems taking advantage of 3D virtual world visualization techniques have potential especially due to the privacy preserving and simplified information presentation style, and secondly that simple representations and glancability should be emphasized in the design. The identified key use cases highlight that avatar-based 3D presentations can be helpful if they provide an overview as well as details on demand.

Highlights

  • In many Western countries, the aging of the population is a forthcoming challenge that affects several sectors in the society

  • We developed a K Nearest Neighbor (K-NN) classifier to classify the activities of elderly patients and added proximity sensor-based location constraints to reduce the number of classes the classifier has to separate at a time

  • We have addressed the challenges of designing surveillance systems for elderly people living at home

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Summary

Introduction

In many Western countries, the aging of the population is a forthcoming challenge that affects several sectors in the society. In Finland [1], the aging population structure will have an economic impact on the society due to increased healthcare costs. Together with potential deficit of employees [2], this leads to a trend of increasing number of elderly people living in their homes and in need of support. The potential of smart technology should be investigated for solutions that can be harnessed to support both patients and homecare providers. Assisting elderly patients in autonomous living has the potential to reduce the strain on healthcare professionals, help elders to maintain an independent style of living, and ease the patients’ transition from home to a nursing home

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