Demo abstract: Activity recognition and human energy expenditure estimation with a smartphone

Bozidara Cvetkovic, Vito Janko, M. Luštrek
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引用次数: 19

Abstract

This paper presents a novel method for activity recognition and estimation of human energy expenditure with a smartphone and an optional heart-rate monitor. The method detects the presence of the devices, normalizes the orientation of the phone, detects its location on the body, and uses location-specific models to recognize the activity and estimate the energy expenditure. The normalization of the orientation and the detection of the location significantly improve the accuracy; the estimated energy expenditure is more accurate than that provided by a state-of-the-art dedicated consumer device.
演示摘要:基于智能手机的活动识别和人体能量消耗估算
本文提出了一种利用智能手机和可选心率监测器对人体能量消耗进行活动识别和估计的新方法。该方法检测设备的存在,使手机的方向正常化,检测其在身体上的位置,并使用位置特定模型来识别活动并估计能量消耗。方向的归一化和位置的检测显著提高了精度;估计的能量消耗比最先进的专用消费设备提供的更准确。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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