HEARME: a touch-to-speech UI for medicine identification

Harjumaa, Marja; Isomursu, Minna; Muuraiskangas, Salla; Konttila, Antti

doi:10.4108/icst.pervasivehealth.2011.246120

Cited by 14 publications

(14 citation statements)

References 14 publications

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“…In fact, as at 2012, approximately 371 million people worldwide already have diabetes, a total of 4.8 million deaths were due to diabetes and treatment costs were approximately 471 billion dollars [9]. This significant increase is attributed to the demographic shift in the proportion of people over 64 years of age [11] where 2.5 million of the diabetes related deaths were from the 60 to 79 age group [9].…”

Section: Diabetes Types and Economic Costmentioning

confidence: 99%

A Meta-Synthesis of Behavioral Outcomes from Telemedicine Clinical Trials for Type 2 Diabetes and the Clinical User-Experience Evaluation (CUE)

2015

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A worldwide demographic shift is in progress and the aged population proportion is projected to more than double across the next four decades. Our current healthcare models may not be adequate to handle this shift in demography, which may have serious consequences for the ageing population who are more prone to chronic diseases. One proposed remediation is to provide in-home assisted healthcare with technology-intervened approaches. Telemedicine, telehealth, e-health are paradigms found in scientific literature that provide clinical treatment through a technology intervention. In evidence-based medical science, these technology interventions are evaluated through clinical trials, which are targeted to measure improvements in medical conditions and the treatment's cost effectiveness. However, effectiveness of a technology also depends on the interaction pattern between the technology and its' users, especially the patients. This paper presents (1) a meta-synthesis of clinical trials for technology-intervened treatments of type 2 diabetes and (2) the Clinical User-Experience Evaluation (CUE). CUE is a recommendation for future telemedicine clinical trials that focuses on the patient as the user from Human-Computer Interaction (HCI) perspective and was developed as part of this research. The clinical trials reviewed were interpreted from a technology perspective and the non-medical or non-biological improvements of the users (patients) rather than the medical outcome. Results show that technology-intervened treatments provide positive behavior changes among patients and are potentially highly beneficial for chronic illness management such as type 2 diabetes. The results from the CUE method show how it complements clinical trials to capture patients' interaction with a technology.

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Section: Diabetes Types and Economic Costmentioning

confidence: 99%

A Meta-Synthesis of Behavioral Outcomes from Telemedicine Clinical Trials for Type 2 Diabetes and the Clinical User-Experience Evaluation (CUE)

2015

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“…ADL Assistance within the home for those suffering from a limiting visual condition include HearMeFeelMe [82]. For those requiring retail assistance, ELDERHOP [83] facilitates mobility within venues, thus redefining the task as a pleasurable interaction.…”

Section: General Health Monitoringmentioning

confidence: 99%

A Review and Classification of Assisted Living Systems

2018

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Europe's social agenda for the "active elderly" is based upon a series of programs that provide a flexible infrastructure for their lives so that they are motivated, engaged in lifelong learning, and contributing to society. Economically speaking, Europe must engage in active aging research in order to avoid unsustainable health costs, and ambient assisted living (AAL) systems provide a platform for the elderly to remain living independently. This paper reviews research conducted within the area of AAL, and offers a taxonomy within which such systems may be classified. This classification distinguishes itself from others in that it categorises AAL systems in a top-down fashion, with the most important categories placed immediately to the left. In this paper, each section is explored further, and AAL systems are the focus. Entire AAL systems still cannot be fully evaluated, but their constituent technical parts can be assessed. The activities of daily living (ADLs) component was given further priority due to its potential for system evaluation, based on its ability to recognise ADLs with reasonable accuracy.Information 2018, 9, 182 2 of 24 ensure that future system features include the minimum requirements necessary for AAL research and commercial usage, thus ensuring that the elderly and their families have systems capable of meeting their current and future ADL needs. Previous reviews have taken different approaches, yet all failed to provide a framework within which all AAL systems could be classified according to their primary function [5,6]. Some applied specific guidelines to predominantly single-use systems, compared platform performance, or personalised healthcare systems. The evolution of AAL technology [7] has taken us through three generations, from wearable devices that respond to an emergency, to automatic response home sensors, to a third generation combining less-intrusive monitoring with preventive functionalities. Another review approach of surveying ambient environment services [8] under event-, context-, or device-aware services was categorised in terms of a service-oriented, user-centered, and event-aware monitoring service. This review technique compared various ambient services of response time, success rate, low/high-level failures, power consumption, and service reliability/adaption, yet offered no classification. A comprehensive literature review [9] on platforms and systems [10] provided no taxonomy for researchers, and excluded ambient intelligence (AmI) research that is pivotal within robotics and wearable computing. A recent review paper [11] described AAL as the culmination of the following five technologies: sensors, context awareness, machine learning, and artificial intelligence, announcing the importance of device interoperability, yet offering no template for achieving this goal. AALIANCE [12] proffered a roadmap for AAL system standardisation and a possible future evolutionary structure for systems, yet this aspirational template lacks the necessary structure to accommodate curr...

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“…MSA may increase customer satisfaction as well as sales. Another example is a system called HearMe [14], which is used to assist visually impaired and older users to identify medication and product information (e.g., dosage) by transforming information from the package (encoded in NFC tags) into speech [14]. This app reduces the reliance on medical employees and family members to remind the patient of scheduled medication.…”

Section: Related Workmentioning

confidence: 99%

VirtualEyez: Developing NFC Technology to Enable the Visually Impaired to Shop Independently

Alnfiai¹,

Sampalli²,

MacKay³

2016

IJECS

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VirtualEyez is a low-cost mobile system that uses NFC tags (NTAG 203 tags) to help visually impaired people shop in a grocery store. While the main purpose of this system is to provide visually impaired people with greater independence when grocery shopping, anyone can use VirtualEyez to navigate a store and obtain product information. The prototype was designed to check product availability, generate optimal directions to products, and provide product information. In this paper, we describe the VirtualEyez system and discuss the results from a preliminary study where participants (visually impaired, partially impaired, and sighted) tried the prototype in a mock grocery store.

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HEARME: a touch-to-speech UI for medicine identification

Cited by 14 publications

References 14 publications

A Meta-Synthesis of Behavioral Outcomes from Telemedicine Clinical Trials for Type 2 Diabetes and the Clinical User-Experience Evaluation (CUE)

A Meta-Synthesis of Behavioral Outcomes from Telemedicine Clinical Trials for Type 2 Diabetes and the Clinical User-Experience Evaluation (CUE)

A Review and Classification of Assisted Living Systems

VirtualEyez: Developing NFC Technology to Enable the Visually Impaired to Shop Independently

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