This article surveys techniques for evaluating eating habits for wellness applications, emphasizing sensor-based approaches such as audio signal processing, inertial sensing, image processing, and gesture recognition. The focus is on noninvasive technologies that could be developed into real-time wearable devices, rather than techniques whose use is limited to laboratory settings. The authors present the results of an online survey in which respondents rate and describe their impressions of various approaches.