Prachi Kadam
AI Consultant of Sahyasakha

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A holistic energy expenditure tracking framework: fuelling wellness with holistic energy tracking Prachi Kadam; Gagandeep Kaur; Leena Manojkumar Panchal; Smita Nirkhi
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 15, No 4: August 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v15.i4.pp3546-3555

Abstract

Effective public health management is essential for a country’s social and economic development. A strong public health system reduces the strain on healthcare infrastructure by encouraging preventive measures. With significant lifestyle changes in recent years, monitoring both energy intake (EI) (diet) and energy expenditure (EE) (physical activity (PA)) has become crucial to maintaining public health. Existing methods primarily track exercise-related EE using self-assessment tools or wearable devices, often neglecting occupation-related activities. This results in an underestimation of total EE. To address this limitation, we propose the holistic energy expenditure tracking (HEET) framework, which aims to provide a comprehensive estimate of daily EE by including occupational activities. The framework was applied to data from a dietitian who collected 180 data points from working professionals across three different occupations. Exploratory data analysis revealed a 41% increase in metabolic equivalent of task (MET) values and a 27% rise in calorific values when occupational EE was considered. A categorical scoring system was developed based on the new calorific values, enabling dietitians to offer more personalized dietary recommendations. The study highlights the need for a standardized framework that captures all daily activities, offering a more accurate and holistic approach to public health monitoring and intervention.