JoulesEye

IF 3.6 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Rishiraj Adhikary, M. Sadeh, N. Batra, Mayank Goel
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引用次数: 0

Abstract

Smartphones and smartwatches have contributed significantly to fitness monitoring by providing real-time statistics, thanks to accurate tracking of physiological indices such as heart rate. However, the estimation of calories burned during exercise is inaccurate and cannot be used for medical diagnosis. In this work, we present JoulesEye, a smartphone thermal camera-based system that can accurately estimate calorie burn by monitoring respiration rate. We evaluated JoulesEye on 54 participants who performed high intensity cycling and running. The mean absolute percentage error (MAPE) of JoulesEye was 5.8%, which is significantly better than the MAPE of 37.6% observed with commercial smartwatch-based methods that only use heart rate. Finally, we show that an ultra-low-resolution thermal camera that is small enough to fit inside a watch or other wearables is sufficient for accurate calorie burn estimation. These results suggest that JoulesEye is a promising new method for accurate and reliable calorie burn estimation.
焦耳之眼
智能手机和智能手表通过准确跟踪心率等生理指标,提供实时统计数据,为健身监测做出了巨大贡献。然而,对运动过程中消耗的卡路里的估算并不准确,不能用于医疗诊断。在这项工作中,我们介绍了基于智能手机热像仪的 JoulesEye 系统,该系统可通过监测呼吸频率准确估算卡路里消耗量。我们对 54 名进行高强度自行车和跑步运动的参与者进行了 JoulesEye 评估。JoulesEye 的平均绝对百分比误差 (MAPE) 为 5.8%,明显优于仅使用心率的商用智能手表方法的 37.6%。最后,我们表明,小巧的超低分辨率红外热像仪足以安装在手表或其他可穿戴设备中,用于准确估算卡路里消耗量。这些结果表明,JoulesEye 是一种有前途的新方法,可用于准确可靠的卡路里消耗估算。
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来源期刊
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Computer Science-Computer Networks and Communications
CiteScore
9.10
自引率
0.00%
发文量
154
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