Arpita Kappattanavr

Arpita Kappattanavr

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10
Publications
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Publications

Publications (10)
Article
Full-text available
Psychology and nutritional science research has highlighted the impact of negative emotions and cognitive load on calorie consumption behaviour using subjective questionnaires. Isolated studies in other domains objectively assess cognitive load without considering its effects on eating behaviour. This study aims to explore the potential for develop...
Conference Paper
Full-text available
To monitor diet, nutritionists employ food journaling approaches, which rely on the subject’s memory. Accordingly, a real-time reminder during eating can help subjects adhere to a journaling routine more strictly. Although previous works used sensors to detect eating activities, no study accounted for the time impact of delivering notifications. Ou...
Article
Full-text available
Observational studies are an important tool for determining whether the findings from controlled experiments can be transferred into scenarios that are closer to subjects’ real-life circumstances. A rigorous approach to observational studies involves collecting data from different sensors to comprehensively capture the situation of the subject. How...
Conference Paper
Full-text available
Prolonged sitting behavior and postures that cause strain on the spine and muscles have been reported to increase the probability of low back pain. To address this issue, many commercially available sensors already provide feedback about whether a person is 'slouching' or 'not slouching'. However, they do not provide information on a person's postu...
Preprint
BACKGROUND Background: Prolonged sitting postures have been reported to increase the probability of developing low back pain. Moreover, the majority of employees in the industrial world work ninety percent of their time in a seated position. OBJECTIVE This review focuses on the technologies and algorithms that have been used to classify seating po...
Article
Full-text available
Background: A majority of employees in the industrial world spend most of their work time in a seated position. Monitoring sitting postures can provide insights into underlying causes of occupational discomforts such as low back pain. Objective: This review focuses on the technologies and algorithms used to classify sitting postures on a chair wit...
Conference Paper
Full-text available
The TREC-PM challenge aims for advances in the field of information retrieval applied to precision medicine. Here we describe our experimental setup and the achieved results in its 2018 edition. We explored the use of unsupervised topic models, supervised document classification, and rule-based query-time search term boosting and expansion. We part...

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