Food Intake Activity Detection Using a Wearable Microphone System

Päßler, Sebastian; Fischer, Wolf‐Joachim

doi:10.1109/ie.2011.9

Cited by 31 publications

(27 citation statements)

References 5 publications

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“…A similar approach developed by Pabler and Fischer [81] is also capable of detecting chewing sounds. Pabler and Fischer [82] further utilized this method by developing a low computational cost algorithm for detecting food intake sound. Similarly, Pabler et al [83] took advantage of chewing sound in the breakdown process detected by the sensor system in the outer ear canal.…”

Section: Acoustic Approachmentioning

confidence: 99%

Wearable Food Intake Monitoring Technologies: A Comprehensive Review

et al. 2017

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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.

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Section: Acoustic Approachmentioning

confidence: 99%

Wearable Food Intake Monitoring Technologies: A Comprehensive Review

et al. 2017

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“…The winning poster by Liu et al [7], proposed Doppler radar as a means of detecting falls. In the case of the two runners-up, Päßler and Fischer [8] explore the use of wearable microphones for determining food intake activities. Finally, Patterson and Caulfield [9] harness foot-mounted accelerometers as a basis for gait analysis.…”

Section: A Wardsmentioning

confidence: 99%

Pervasive computing technologies for healthcare

2011

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“…A two-microphone system is developed in [7] for recording chewing and swallowing sound through the ear canal as well as externally through the air. Placing such microphones has similar cosmetic issues and therefore its suitability for prolonged usage is questionable.…”

Section: Introductionmentioning

confidence: 99%

Wearable diet monitoring through breathing signal analysis

Dong

Biswas

2013

2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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This paper presents the design, system structure and performance for a wireless and wearable diet monitoring system. Food and drink intake can be detected by the way of detecting a person's swallow events. The system works based on the key observation that a person's otherwise continuous breathing process is interrupted by a short apnea when she or he swallows as a part of solid or liquid intake process. We detect the swallows through the difference between normal breathing cycle and breathing cycle with swallows using a wearable chest-belt. Three popular machine learning algorithms have been applied on extracted time and frequency domain features. It is shown that high detection performance can be achieved with only few features.

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Food Intake Activity Detection Using a Wearable Microphone System

Cited by 31 publications

References 5 publications

Wearable Food Intake Monitoring Technologies: A Comprehensive Review

Wearable Food Intake Monitoring Technologies: A Comprehensive Review

Pervasive computing technologies for healthcare

Wearable diet monitoring through breathing signal analysis

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