2020
DOI: 10.1109/tce.2020.2976006
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iLog: An Intelligent Device for Automatic Food Intake Monitoring and Stress Detection in the IoMT

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Cited by 72 publications
(41 citation statements)
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“…Details on the use of AI for the self-regulation of weight lossrelated behaviours are shown in Table 2. Of the studies on enhancing self-monitoring, twenty-nine (43•9 %) were on eating behaviours (58)(59)(60)(61)(62)(63)(64)(65)(66)(67)(68)(69)(70)(71)(72)(73)(74)(75)(76) , seven (10•6 %) were on energy intake (34,(77)(78)(79)(80)(81)(82) , thirty-three (50 %) were on physical activity (26,(51)(52)(53)(54)(55)60,74, and nine (13•6 %) were on energy expenditure (83,85,92,(94)(95)(96)(97)100,101) . Of the studies on optimising goal setting, five were on optimising eating behaviour goals (e.g., eating at a certain time of the day and energy intake) (48,49,53) and six were on optimising physical activity...…”
Section: Self-regulation Of Weight Loss-related Behavioursmentioning
confidence: 99%
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“…Details on the use of AI for the self-regulation of weight lossrelated behaviours are shown in Table 2. Of the studies on enhancing self-monitoring, twenty-nine (43•9 %) were on eating behaviours (58)(59)(60)(61)(62)(63)(64)(65)(66)(67)(68)(69)(70)(71)(72)(73)(74)(75)(76) , seven (10•6 %) were on energy intake (34,(77)(78)(79)(80)(81)(82) , thirty-three (50 %) were on physical activity (26,(51)(52)(53)(54)(55)60,74, and nine (13•6 %) were on energy expenditure (83,85,92,(94)(95)(96)(97)100,101) . Of the studies on optimising goal setting, five were on optimising eating behaviour goals (e.g., eating at a certain time of the day and energy intake) (48,49,53) and six were on optimising physical activity...…”
Section: Self-regulation Of Weight Loss-related Behavioursmentioning
confidence: 99%
“…The popularity of AI stems from its potential to solve real-world problems with rationality, efficiency, costeffectiveness and accuracy. In obesity research, AI has been used to examine aetiologies (31) , perform risk profiling (32) , standardise diagnosis (decision support system) (33) , personalise weight management programmes (34) , perform remote monitoring (32) and predict prognoses (35) . However, to the authors' best knowledge, there are limited academic publications that explored the use of AI to improve behaviour change self-regulation for weight loss (36) .…”
mentioning
confidence: 99%
“…Subsequently, the depression built among the diabetic patients would lead to an unbalanced diet. 10 Therefore, it may be beneficial to take certain self-measures by remotely consulting with nutritionists, endocrinologists, physician, diabetes educators, and psychiatrists at the time of COVID-19. The lock down and imposed restrictions on the movement by higher authorities has made it difficult for diabetic patients to control their glycemic profile.…”
Section: Challenges Of Diabetic Patients During Covid-19mentioning
confidence: 99%
“…The device known as iLog is useful to educate user for consumption of proper food intake. 10,20 It works on a mobile application where images of foods are taken and it calculates the calories and its nutrition value. It is an automatic platform for maintaining healthy life style through continuous monitoring of daily food intake at the user end.…”
Section: Intelligent Diet Control For Glucose-insulin Balancementioning
confidence: 99%
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