The human metabolic rate has attracted increasing interest
as it
is the most critical parameter in thermal comfort evaluation, a challenging
field, while it is always determined imprecisely. The main issue hampering
metabolic rate portable measurement is a lack of reliable methods.
Current measuring solutions are unsatisfactory because nonportable
bulky size systems and disturbance masks are required. This paper
proposes a novel metabolic rate measurement model, which we believe
is the first of its kind, to accurately identify and predict human
metabolism values via wearable technology. Based on a newly developed
theory, the designed wearable metabolic rate sensor was fabricated
to measure key parameters: heart rate, heat loss, and skin resistance.
Together with the body muscle rate, the new final linear metabolic
rate model showed easy prediction capability. Eight volunteers were
invited for the experiment under three conditions under four activity
intensity states. First, the results significantly verify that a linear
relationship exists between the metabolic rate tested by the Quark
CPET instrument and our proposed model, with a high coefficient of
determination (R
2 ≈ 0.90). The
correlation model is worth mentioning because it coincides with our
hypothesis, with at least 95% overall accuracy and less than 2% uncertainty
under each condition. Second, the most remarkable finding is that
our model is exceedingly suitable (R
2 ≈
0.90) for the same person, regardless of the experimental temperature.
Finally, validation is conducted in a wider metabolic range, further
strengthening confidence in our metabolic rate estimation approach.
In summary, based on an innovative methodology, our novel metabolic
rate sensor is wearable, comfortable, real-time achievable, and miniaturized
compared with the existing equipment. This paper sheds new light on
human metabolic rate measurement and prediction. Furthermore, our
approach and designed sensor can be applied to evaluate indoor thermal
comfort precisely, thus leading to reduced energy consumption.