Figure 1.

Overview of the chapter in 3 key areas. advances in mobile apps for diet monitoring, wearable and handheld sensors, and personalized nutrition. (a) Snapshot of the Undermyfork app, ⁶ which tracks glucose patterns (bottom) and aligns them with food photographs (top). (b) Recognition of foods from photographs. ⁷ (c) Tooth-mounted sensor (from Tseng et al ⁸ ). (d) Smart fork utensil. ⁹ (e) Epidermal sweat sensor (from Sempionatto et al ¹⁰ ). Personalized nutrition is achieved by combining (f) continuous glucose monitors, (g) microbiome information and (h) machine learning techniques. (a) Provided, with permission, by Undermyfork, (b) reprinted (adapted) with permission from authors ⁷ (c) reprinted (adapted) with permission from Tseng et al, ⁸ (d) reprinted (adapted) with permission from Zhang et al, ⁹ (e) reprinted (adapted) with permission from Sempionatto et al, ¹⁰ Copyright 2020 American Chemical Society, (f) photo credit: iStock.com/AzmanJaka, (g) photo credit: iStock.com/Design Cells, and (h) photo credit: iStock.com/KENGKAT.