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7/29/2019 presentation_file_5102d4bb-604c-4d22-b783-1035ac10371e
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Figure 4. Meta-analysis of activity monitors correlation with doubly labeled water
The Calorie Watch: Accuracy and ApplicationsAdam Hoover & Eric R. Muth
Department of Electrical and Computer Engineering and Department of Psychology, Clemson University, Clemson, SC, USA
Bite Technologies, Clemson, SC, USA
Accuracy Data
Self-monitoring has been shown to be one of the most critical aspe
successful weight loss interventions (Burke et al., 2009). Food diari
and dietary recalls are the primary tools used today. These tools ha
heavy user burden making compliance over time challenging. The
Calorie Watch uses Bite Counter technology to derive and present
calorie information to the wearer. The calorie estimates are derived
from bites and the Mifflin-St. Jeor formula for resting energy
expenditure (REE) adjusted for physical activity level (PAL) to determ
caloric needs to set the target calorie goal.
Weight Loss/Maintenance
Applications
Data are stored on the
device long-term and can
be downloaded to a PC
for analysis. The screen
shot on the left shows a
calendar of eating
activities over a 1 month
period. Patterns can
quickly be observed. By
clicking on the calendar a
week view pops up with
more detail on the
number of bites taken or
calories consumed.
Figure 8. Overview of monthly record of eating activities
Observation
Real-Time Feedback
Figure 9. Detailed record of eating
Bites to Kilocalories
Calorie Watch Accuracy Compared to Physical Activity Monitors
To study the relationship between bites and kilocalories, a total of 83 people wore the Calorie Watch for two weeks (Scisco, "Sources of Variance
in Bite Count", PhD Dissertation, Psychology Dept, Clemson University, May 2012). Ground truth kilocalories were measured using the ASA24
dietary recall. Over 4000 meals were evaluated, approximately 50 meals per person. The above figures show the data from two participants. Each
data point is one meal. The bites-to-kilocalories correlation for the plot on the left is 0.4 (Fig. 1) and for the plot on the right is 0.7 (Fig. 2). Over
75% of participants had a correlation above 0.4. While there is obviously noise in the kilocalorie-bite relationship for a single bite, due to the
energy density of the food being eaten and natural variability in bite size, the relationship shows some stability at the meal level.
There are a large variety of physical activity monitors, including simple pedometers, consumer-grade devices like the Fitbit and Nike's Fuel Band,
and professional-grade devices like the Actigraph and Actiwatch. These devices provide a measure of energy expenditure. The Calorie Watch is
similar but is the only device of its kind to provide an automated measure of energy intake. How good is the measure? The plot above on the left
(Fig. 3) shows the histogram of ASA24 calorie-Calorie Watch calorie correlations for all 83 participants in the study described above. To provide
context, the plot above on the right (Fig. 4) shows a histogram of correlations found in a meta-study evaluation of 41 studies that compared
energy expenditure as measured by physical activity monitors to doubly labeled water (Westerterp & Plasqui, 2007, "Physical Activity Assessment
with Accelerometers: An Evaluation against Doubly Labeled Water", in Obesity, vol 15, pp 2371-2379). As can be seen, the Calorie Watch provides
a measure of energy intake comparable in quality to the measure of energy expenditure provided by physical activity monitors.
Figure 1. Participant with a r= 0.4 bites-calories correlation Figure 2. Participant with an r=0.7 bites-calories correlation
Figure 3. Calories measured by the Calorie Watch correlated with ASA24
The device software allows you to
custom configure the device to set the
display mode (calories/bites), to enter
the calorie calibration from the abovecalorie calculator and to set an
auditory alarm to go off either at a meal
target calories or a day target.
The device is watch-like and through a
simple display and interface provides
feedback to the wearer while they are
eating and reminds them how much they
have eaten for the day.Figure 6. Interface for custom device configuration Figure 7. Picture of the Calorie W
Figure 5. Calorie Calculator to custom set the bites-calorie transform