Titlebook: Artificial Intelligence to Analyze Psychophysical and Human Lifestyle; Gunjan Chhabra,Sunil Kumar,Pooja Nagpal Book 2023 The Editor(s) (if

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https://doi.org/10.1007/978-3-319-94141-7ns of food qualities are presented in this research using a unique machine-learning-based classification system. To train the prototype system‘s convolutional neural network, this chapter is based on understanding a deep learning approach based on a convolutional neural network. Recommendations for

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The Read/Write Register Abstractionices interact with AI software in different ways. In the fields of healthcare and nutrition, patients could use mobile devices and wearables to acquire information on probable diagnoses for their symptoms and to monitor metrics of their heart rate. There is a growing number of AI vendors operating i

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The Read/Write Register Abstractioniques of nutritional evaluation rely on recall. With the availability of powerful mobile devices and extensive cloud services, it is now feasible to create a sophisticated computer-based food identification system for trustworthy food assessment. Helping computers recognize what’s being shown in foo

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The Read/Write Register Abstractionake exceeds energy expenditure, dietary practices and attitudes are crucial in the global obesity epidemic. A recent review discovered gaps in the knowledge base on the variables/determinants of healthy eating and the interactions between them, even though research has focused on devising technical

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https://doi.org/10.1007/978-3-319-94141-7 activity, such as weightlifting and bodybuilding. Swimmers put in much more physical effort; thus, they require much nutritional assistance. Athletes’ caloric needs are often higher than those of nonathletes, but this varies by gender, age, height, weight, muscle mass, stage of development, level o

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