A Novel Wearable Device for Food Intake and Physical Activity Recognition
AbstractPresence of speech and motion artifacts has been shown to impact the performance of wearable sensor systems used for automatic detection of food intake. This work presents a novel wearable device which can detect food intake even when the user is physically active and/or talking. The device consists of a piezoelectric strain sensor placed on the temporalis muscle, an accelerometer, and a data acquisition module connected to the temple of eyeglasses. Data from 10 participants was collected while they performed activities including quiet sitting, talking, eating while sitting, eating while walking, and walking. Piezoelectric strain sensor and accelerometer signals were divided into non-overlapping epochs of 3 s; four features were computed for each signal. To differentiate between eating and not eating, as well as between sedentary postures and physical activity, two multiclass classification approaches are presented. The first approach used a single classifier with sensor fusion and the second approach used two-stage classification. The best results were achieved when two separate linear support vector machine (SVM) classifiers were trained for food intake and activity detection, and their results were combined using a decision tree (two-stage classification) to determine the final class. This approach resulted in an average F1-score of 99.85% and area under the curve (AUC) of 0.99 for multiclass classification. With its ability to differentiate between food intake and activity level, this device may potentially be used for tracking both energy intake and energy expenditure. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Farooq, M.; Sazonov, E. A Novel Wearable Device for Food Intake and Physical Activity Recognition. Sensors 2016, 16, 1067.
Farooq M, Sazonov E. A Novel Wearable Device for Food Intake and Physical Activity Recognition. Sensors. 2016; 16(7):1067.Chicago/Turabian Style
Farooq, Muhammad; Sazonov, Edward. 2016. "A Novel Wearable Device for Food Intake and Physical Activity Recognition." Sensors 16, no. 7: 1067.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.