Browsing AURA by Author "Pahari, Nibedita"
Now showing items 1-5 of 5
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AI and semantic ontology for personalized activity eCoaching in healthy lifestyle recommendations: a meta-heuristic approach
Chatterjee, Ayan; Pahari, Nibedita; Prinz, Andreas; Riegler, Michael Alexander (Peer reviewed; Journal article, 2023)Background Automated coaches (eCoach) can help people lead a healthy lifestyle (e.g., reduction of sedentary bouts) with continuous health status monitoring and personalized recommendation generation with artificial ... -
HL7 FHIR with SNOMED-CT to Achieve Semantic and Structural Interoperability in Personal Health Data: A Proof-of-Concept Study
Chatterjee, Ayan; Pahari, Nibedita; Prinz, Andreas (Peer reviewed; Journal article, 2022) -
Machine learning and ontology in eCoaching for personalized activity level monitoring and recommendation generation
Chatterjee, Ayan; Pahari, Nibedita; Prinz, Andreas; Riegler, Michael (Peer reviewed; Journal article, 2022) -
ProHealth eCoach: user-centered design and development of an eCoach app to promote healthy lifestyle with personalized activity recommendations
Chatterjee, Ayan; Prinz, Andreas; Gerdes, Martin; Martinez, Santiago; Pahari, Nibedita; Meena, Yogesh Kumar (Peer reviewed; Journal article, 2022)Background: Regular physical activity (PA), healthy habits, and an appropriate diet are recommended guidelines to maintain a healthy lifestyle. A healthy lifestyle can help to avoid chronic diseases and long-term illnesses. ... -
Sleep Monitoring with Wearable Sensor Data in an eCoach Recommendation System: A Conceptual Study with Machine Learning Approach
Chatterjee, Ayan; Prinz, Andreas; Pahari, Nibedita; Das, Jishnu; Riegler, Michael (Lecture Notes in Networks and Systems; no. 519, Chapter; Peer reviewed, 2023)The collective effects of sleep loss and sleep disorders are correlated with many adverse health consequences, including increased risk of high blood pressure, obesity, diabetes, depressive state, and cardiovascular symptoms. ...