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Field Test of a Passive Infrared Camera for Measuring Trail-Based Physical Activity

机译:用于测量基于轨迹的物理活动的被动红外相机的现场测试

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Introduction: Trails are ubiquitous and far-reaching, but research on the impact trails have on physical activity is limited by the lack of resource-efficient, accurate, and practical systematic observation tools. Commonly used infrared trail sensors count trail use and may broadly differentiate activity (i.e., bicyclist vs. pedestrian), but cannot detect nuances needed for outcomes research such as frequency, intensity, time, and type of activity. Motion-activated passive infrared cameras (PICs), used in ecological research and visitor management in wildlife areas, have potential applicability as a systematic observation data collection tool. Materials and Methods: We conducted a 7-month field test of a PIC as a systematic observation data collection tool on a hiking trail, using photos to identify each trail user's physical activity type, age, sex, and other characteristics. We also tallied hourly trail use counts from the photos, using Bland–Altman plots, paired t -tests, Concordance Correlation Coefficient, Kendall's Tau-b, and a novel inter-counter reliability measure to test concordance against concurrent hourly counts from an infrared sensor. Results: The field test proved informative, providing photos of 2,447 human users of the trail over 4,974 h of data collection. Nearly all of the users were walkers (94.0%) and most were male (69.2%). More of the males used the trail alone (44.8%) than did females (29.8%). Concordance was strong between instruments ( p 0 on either device (14.0%; 694 h). Discussion: The study's findings highlight the benefits of using PICs to track trail user characteristics despite the needs to further refine best practices for image coding, camera location, and settings. More widespread field use is limited by the extensive amount of time required to code photos and the need to validate the PICs as a trail use counter. The future potential of PICs as a trail-specific PA research and management tool is discussed.
机译:简介:小径无处不在,达到深远,但对影响小径的研究有限受到资源效率,准确,实用的系统观察工具的限制。常用的红外线路径传感器计数路径使用,可以广泛地区分活动(即,骑自行车司机与行人),但不能检测结果研究所需的差异,例如频率,强度,时间和类型的类型。在野生动物地区生态研究和访客管理中使用的运动激活的被动红外摄像头(PICS),具有作为系统观测数据收集工具的潜在适用性。材料和方法:我们在徒步旅行路径上作为系统观测数据收集工具进行了7个月的现场测试,使用照片来识别每个路径用户的身体活动类型,年龄,性别等特征。我们还使用Bland-Altman Plots,配对T -Tests,一致性相关系数,KENDALL的TAU-B以及新颖间可靠性措施来计算每小时的小组径,并使用一份新的相反可靠性措施,以测试一致来自红外传感器的同时计数。结果:现场测试证明了信息,提供了2,447名人类用户的照片超过4,974小时的数据收集。几乎所有的用户都是沃克斯(94.0%),大多数是男性(69.2%)。更多的男性单独使用小径(44.8%)而不是女性(29.8%)。仪器之间的一致性强大(任何设备上的P 0(14.0%; 694小时)。讨论:该研究的调查结果突出了使用PICS来跟踪TRAIL用户特性的好处,尽管需要进一步改进图像编码,相机位置的最佳实践,和设置。更广泛的现场使用受到代码照片所需的广泛时间的限制,并且需要将照片验证为小径使用计数器。讨论了作为特定于轨迹的PA研究和管理工具的未来潜力。

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