DOIAbstract
With advances in wearable and mobile computing technology, a significant body of work has been dedicated to the field of automated dietary monitoring (ADM). The ability to detect eating activities in naturalistic environments steadily improved over the past decade. Nonetheless, mainstream adoption of the technologies has been hampered by obtrusive form factors (e.g., neck band, headphones, chest band) and high false positive rates in naturalistic settings. This dissertation addresses such problems through small-scale (<15cm²) sensing systems. Specifically, I demonstrate that the small-scale sensors can realize simple and effective ADM systems through on-body localized and targeted remote sensing in minimally obtrusive form factors. The work...
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