![]() The participants performed various activities requiring different levels of exertion. The team tested the sensors using a group of participants representing a broad spectrum of ages, backgrounds, and fitness levels. The leg sensors could be sewn into smart pants or shorts to measure the acceleration and rotation of the leg as it moves. The research team designed special lightweight sensors made of inexpensive materials. Like many smartwatches, the system uses inertial measurement sensors. Moving the sensors from the wrist to the lower body boosts accuracy because leg movements account for more energy expenditure than the arms. A smartphone app could eventually replace the microcontroller. The system includes two battery-controlled sensors placed on the upper leg and a microcontroller placed on the hip. The highest average error rate was 93%, which indicates the calorie data from that device is flat-out useless.Ĭomponents of the new EE tracking system cost less than $100. In that study, the lowest average device error rate was 27%, which hardly inspires confidence in calorie tracking. In 2017, a study conducted by a separate Stanford University team found that popular smartwatches performed well at measuring heart rate, but failed to accurately measure EE. The best part? The open-source instructions are free so that anyone can construct the affordable energy expenditure (EE) sensor system for themselves. Now, researchers from Stanford University have developed new sensor technology that could improve the accuracy of wearable calorie tracking. Or it would, if smartwatches could track calories accurately. A calorie counter makes good sense as a smartwatch feature.
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