Jog Falls: A Pervasive Healthcare Platform for Diabetes Management

Nachman, Lama; Baxi, Amit; Bhattacharya, Sangeeta; Darera, Vivek; Deshpande, Piyush; Kodalapura, Nagaraju; Mageshkumar, Vincent; Rath, Satish; Shahabdeen, Junaith; Acharya, Raviraja V

doi:10.1007/978-3-642-12654-3_6

Cited by 63 publications

(47 citation statements)

References 12 publications

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“…Lu et al (2010) presented a mobile multiparty voice communication system that allows drivers to socialize with each other while driving. Nachman et al (2010) proposed a system to manage diabetes that considers energy expenditure monitoring, diet-logging, and analysis of health data. Luyten (2010) presented an approach and tool that makes it possible to create an intuitive user interface for exploring and controlling the environment.…”

Section: Software Designmentioning

confidence: 99%

A Picture of Present Ubicomp Research Exploring Publications from Important Events in the Field

Silva

Celes

Mota

et al. 2012

Journal of Applied Computing Research

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Abstract. In this work we use a dataset of papers published in top conferences focused on ubiquitous computing (ubicomp) to provide an overview and analysis of recent ubiquitous computing research performed internationally and in Brazil. The contributions of this study are twofold. First, we extracted useful information from our dataset such as representativeness of authors and institutions, and the formation of communities. Second, we analyzed all papers published between 2010 and 2011 in all top international conferences, creating a taxonomy of recent ubicomp research performed internationally. After that we mapped SBCUP papers (Brazilian ubicomp conference) according to this taxonomy, which enables the comparison of international and national research. This study is useful to guide novices in the field and it also provides experienced researchers with facts enabling the discussion of ubicomp research.

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Section: Software Designmentioning

confidence: 99%

A Picture of Present Ubicomp Research Exploring Publications from Important Events in the Field

Silva

Celes

Mota

et al. 2012

Journal of Applied Computing Research

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“…Recently, several devices have been designed to record and monitor users' routine exercises. For example, the accelerometer [21][22][23] and gyroscope [24][25][26] are used to recognize the users' activities; Polar records heart rate to evaluate the amount of activity in terms of calories in order to manage sports training [27]. Pedometers can quantify activities in terms of number of steps, and then suggest the users to reduce or increase the amount of exercise they undertake [28].…”

Section: Biomedical Applicationsmentioning

confidence: 99%

A Survey of Transfer and Multitask Learning in Bioinformatics

Xu¹,

Yang²

2011

Journal of Computing Science and Engineering

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Machine learning and data mining have found many applications in biological domains, where we look to build predictive models based on labeled training data. However, in practice, high quality labeled data is scarce, and to label new data incurs high costs. Transfer and multitask learning offer an attractive alternative, by allowing useful knowledge to be extracted and transferred from data in auxiliary domains helps counter the lack of data problem in the target domain. In this article, we survey recent advances in transfer and multitask learning for bioinformatics applications. In particular, we survey several key bioinformatics application areas, including sequence classification, gene expression data analysis, biological network reconstruction and biomedical applications.

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“…A variety of studies proposes remote and self-monitoring systems in medical contexts and/or investigates their success. Examples include diabetes self-care [10,20,35,26], asthma management [28], context-aware pill reminders [22] and generic remote monitoring frameworks [5,25]. User studies thereby on the one hand show that people are open to such systems [28,35] and on the other hand indicate a positive effect on the patients' health and/or comfort [26,22,28,10,20].…”

Section: Related Workmentioning

confidence: 99%

Sundroid

Fahrni

Kühn

Sommer

et al. 2011

Proceedings of the 13th International Conference on Ubiquitous Computing

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While the sun is important for our health, overexposure to sunlight carries significant health risks ranging from sunburn to skin cancer. Although people know about these risks, sunlight related skin damages have increased over the past decades. We have conducted a survey that sheds light on this phenomenon and suggests that the missing natural sense for UV radiation negatively influences people's sun related behavior. To address this issue, we have implemented Sundroid. Sundroid measures the incident UV radiation using a body-worn sensing unit that communicates wirelessly with the user's smartphone. The phone thereby acts as a user interface to present the measured data in an intuitive manner, and to notify the user once a critical amount of sunlight has been reached. Sundroid can also be applied in other contexts, such as behavioral research or medicine. We show that after calibration, errors are within 5% compared to a high-precision reference signal.

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Jog Falls: A Pervasive Healthcare Platform for Diabetes Management

Cited by 63 publications

References 12 publications

A Picture of Present Ubicomp Research Exploring Publications from Important Events in the Field

A Picture of Present Ubicomp Research Exploring Publications from Important Events in the Field

A Survey of Transfer and Multitask Learning in Bioinformatics

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