TY - JOUR
T1 - Wearable food intake monitoring technologies
T2 - A comprehensive review
AU - Vu, Tri
AU - Lin, Feng
AU - Alshurafa, Nabil
AU - Xu, Wenyao
N1 - Publisher Copyright:
© 2017 by the authors; licensee MDPI, Basel, Switzerland.
PY - 2017/3
Y1 - 2017/3
N2 - Wearable devices monitoring food intake through passive sensing is slowly emerging to complement self-reporting of users’ caloric intake and eating behaviors. Though the ultimate goal for the passive sensing of eating is to become a reliable gold standard in dietary assessment, it is currently showing promise as a means of validating self-report measures. Continuous food-intake monitoring allows for the validation and refusal of users’ reported data in order to obtain more reliable user information, resulting in more effective health intervention services. Recognizing the importance and strength of wearable sensors in food intake monitoring, there has been a variety of approaches proposed and studied in recent years. While existing technologies show promise, many challenges and opportunities discussed in this survey, still remain. This paper presents a meticulous review of the latest sensing platforms and data analytic approaches to solve the challenges of food-intake monitoring, ranging from ear-based chewing and swallowing detection systems that capture eating gestures to wearable cameras that identify food types and caloric content through image processing techniques. This paper focuses on the comparison of different technologies and approaches that relate to user comfort, body location, and applications for medical research. We identify and summarize the forthcoming opportunities and challenges in wearable food intake monitoring technologies.
AB - Wearable devices monitoring food intake through passive sensing is slowly emerging to complement self-reporting of users’ caloric intake and eating behaviors. Though the ultimate goal for the passive sensing of eating is to become a reliable gold standard in dietary assessment, it is currently showing promise as a means of validating self-report measures. Continuous food-intake monitoring allows for the validation and refusal of users’ reported data in order to obtain more reliable user information, resulting in more effective health intervention services. Recognizing the importance and strength of wearable sensors in food intake monitoring, there has been a variety of approaches proposed and studied in recent years. While existing technologies show promise, many challenges and opportunities discussed in this survey, still remain. This paper presents a meticulous review of the latest sensing platforms and data analytic approaches to solve the challenges of food-intake monitoring, ranging from ear-based chewing and swallowing detection systems that capture eating gestures to wearable cameras that identify food types and caloric content through image processing techniques. This paper focuses on the comparison of different technologies and approaches that relate to user comfort, body location, and applications for medical research. We identify and summarize the forthcoming opportunities and challenges in wearable food intake monitoring technologies.
KW - Food intake
KW - Food intake monitoring
KW - Signal processing schemes
KW - Wearable sensor
UR - http://www.scopus.com/inward/record.url?scp=85025634885&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85025634885&partnerID=8YFLogxK
U2 - 10.3390/computers6010004
DO - 10.3390/computers6010004
M3 - Review article
AN - SCOPUS:85025634885
SN - 2073-431X
VL - 6
JO - Computers
JF - Computers
IS - 1
M1 - 4
ER -