Abstract
Nowadays, with easy access to internet, food is delivered at our doorsteps just on the click of a button due to which people have started to consume higher amount of fast food. This has accelerated the chances of suffering from a chronic disease known as obesity. Since obesity has become such a widespread disease, various mobile e-health applications have been developed for assistive calorie measurement to help people fight against health-related problems. In this paper, we have surveyed different methods for food recognition and calorie measurement using various methods and compared their performances based on several factors.
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Hemalatha Reddy, V., Kumari, S., Muralidharan, V., Gigoo, K., Thakare, B.S. (2020). Literature Survey—Food Recognition and Calorie Measurement Using Image Processing and Machine Learning Techniques. In: Kumar, A., Mozar, S. (eds) ICCCE 2019. Lecture Notes in Electrical Engineering, vol 570. Springer, Singapore. https://doi.org/10.1007/978-981-13-8715-9_4
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DOI: https://doi.org/10.1007/978-981-13-8715-9_4
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