Wearables – the future of biometric technology?

Hill, Charlotte

doi:10.1016/s0969-4765(15)30138-7

Cited by 31 publications

(17 citation statements)

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“…Mobile devices are becoming lighter and smaller with the development of IoT technology [45,46]. This trend will lead to the development of various wearable devices, and many users will wear 3-4 wearable devices in the future.…”

Section: Simplicitymentioning

confidence: 99%

Mobile payment in Fintech environment: trends, security challenges, and services

Kang

2018

Hum. Cent. Comput. Inf. Sci.

134

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$224.3 billion in 2017 with average annual growth of 38%, and According to Capgemini's 2016 report, the world's non-cash transaction volumes grew by 8.9% in 2014 to 387.3 billion and it was predicted that in 2015, it will increase by 10.1% to reach 426.3 billion [8]. As the mobile payment market is activated and mobile payment frequency used by users increased, the need for simplified payment has increased. In all digital environments including environments where financial infrastructure is

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Section: Simplicitymentioning

confidence: 99%

Mobile payment in Fintech environment: trends, security challenges, and services

Kang

2018

Hum. Cent. Comput. Inf. Sci.

134

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“…The wearer configures their wearable and sets initial goals (1), the wearable sensors track the wearer's daily activities and record data (2), the wearable synchronises with a smart device to transfer the wearable data recorded (3), the raw data is forwarded by the smart phone to the wearable data server (4) from which it is retrieved and analysed in comparison to community data to generate personal recommendations (5), the results of the analysis and the recommendations are forwarded to the smart device (6) where they are visualised and offered to the wearer (7) so that they may assist them with monitoring their daily goals and activities (8). The smart phone synchronises with the wearable to auto-update any revised goals (9).…”

Section: Wearable Data Analysis Visualisation and Recommendationmentioning

confidence: 99%

Wearable data analysis, visualisation and recommendations on the go using android middleware

Angelides

Wilson

Echeverría

2018

Multimed Tools Appl

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Wearable technology comes with the promise of improving one's lifestyles thru data mining of their physiological condition. The potential to generate a change in daily or routine habits thru these devices leaves little doubt. Whilst the hardware capabilities of wearables have evolved rapidly, software apps that interpret and present the physiological data and make recommendations in a simple, clear and meaningful way have not followed a similar pattern of evolution. Existing fitness apps provide routinely some information to the wearer by mining personal data but the subsequent analysis is limited to supporting ad hoc personal goals. The information and recommendations presented are often either not entirely relevant or incomplete and often not easy to interpret by the wearer. The primary motivation behind this research is to address this wearable technology software challenge by developing a middleware mobile app that is supported by data analytics and machine learning to assist with interpretation of wearer data and with making of personal lifestyle improvement recommendations on the go which may then be used to feedback to the wearer's daily goals and activities. The secondary motivation is to correlate and compare with trends in the wearer's peer community.

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“…Wearables have become an important domain, embracing watches, smartphones and smart glasses [7]. Still, textiles are perhaps the ultimate class of wearables, playing a profound role in daily life of humans of whatever age, sex, health status, occupation, or activity level.…”

Section: Wearables and Smart Textilesmentioning

confidence: 99%

Empowering Persons with Deafblindness

Korn

Holt

Kontopoulos

et al. 2018

Proceedings of the 11th PErvasive Technologies Related to Assistive Environments Conference

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Deafblindness is a condition that limits communication capabilities primarily to the haptic channel. In the EU-funded project SUITCEYES we design a system which allows haptic and thermal communication via soft interfaces and textiles. Based on user needs and informed by disability studies, we combine elements from smart textiles, sensors, semantic technologies, image processing, face and object recognition, machine learning, affective computing, and gamification. In this work, we present the underlying concepts and the overall design vision of the resulting assistive smart wearable. CCS Concepts

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Wearables – the future of biometric technology?

Cited by 31 publications

References 0 publications

Mobile payment in Fintech environment: trends, security challenges, and services

Mobile payment in Fintech environment: trends, security challenges, and services

Wearable data analysis, visualisation and recommendations on the go using android middleware

Empowering Persons with Deafblindness

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