论文标题
PAR：个人活动半径摄像头视图，用于上下文感测
PAR: Personal Activity Radius Camera View for Contextual Sensing
论文作者
论文摘要
使用可穿戴摄像机的上下文感测，已经看到了各种不同的摄像机角度，以捕捉不同视觉场景的广泛范围。在本文中，我们提出了一种新的相机视图，该视图旨在捕获与单个摄像头观察点合并的许多相机位置和方向相同的视觉信息。安装在玻璃框架角落的相机向下指向地板，这是我们命名为个人活动半径（PAR）的视野。 PAR视野捕获了围绕佩戴者个人气泡的视觉信息，包括与他们互动的项目，身体运动，周围环境等。在我们的评估中，我们在两个不同的活动跟踪方案中测试了PAR视图的可解释性：食物相关的行为和运动跟踪。人类标记在识别91％精度的运动跟踪中的身体运动方面达到了总体高度的精度，并以96％的精度识别饮食/饮食运动。对于标签杂货类别，项目交互标识达到了86％的精度。我们在设备设置和上下文视图上显示了高水平，我们能够使用设备捕获。我们看到，相机广角捕获了不同的活动，例如驾驶，购物，健身房锻炼，步行和进食，并且可以观察用户的特定相互作用项目以及周围的周围环境。
Contextual sensing using wearable cameras has seen a variety of different camera angles proposed to capture a wide gamut of different visual scenes. In this paper, we propose a new camera view that aims to capture the same visual information as many of the camera positions and orientations combined from a single camera view point. The camera, mounted on the corner of a glasses frame is pointing downwards towards the floor, a field-of-view we named Personal Activity Radius (PAR). The PAR field-of-view captures the visual information around a wearer's personal bubble, including items they interact with, their body motion, their surrounding environment, etc. In our evaluation, we tested the PAR view's interpretability by human labelers in two different activity tracking scenarios: food related behaviors and exercise tracking. Human labelers achieved an overall high level of precision in identifying body motions in exercise tracking of 91% precision and eating/drinking motions at 96% precision. Item interaction identification reached a precision of 86% precision for labeling grocery categories. We show a high level on the device setup and contextual views we were able to capture with the device. We see that the camera wide angle captures different activities such as driving, shopping, gym exercises, walking and eating and can observe the specific interaction item of the user as well as the immediate contextual surrounding.
