Digital Self, Daily Life and City Space—— Using wearable cameras for portraying our life

Digital Self, Daily Life and City Space — Using wearable cameras for portraying our life / 数字自我，日常生活和城市空间

Long Ying 龙瀛, Pai Li 李派, Zhaoxi Zhang 张昭希

We live in a world full of electric products, and we have been influenced by them deeply, especially those with digital screens like cell phones, computers and TVs.  These electric products bring convenience to our life, while at the same time, the mobile-dependency is letting our times increasingly fragmented.

In this project, we’re going to use wearable camera to digital individual daily life, and see how far electric products has changed our life. The wearable camera features a built-in Wi-Fi and GPS, it can clip onto a user’s clothing and automatically taking a photo every 30 seconds. We will invite five volunteers of different ages and varying occupations to wear a camera for an entire week, including both work days and weekend days. They will be instructed to remove pictures with privacy before submitting all pictures for our quantitative analysis. After obtaining all the images, we’ll use both manual auditing and automatic analysis using API & Matlab color recognition algorithm to identify the major information in each image.

The major elements in the images including: 1)participant’s daily activities (work, eat, traffic, social, amusement, etc.) and the time allocation, 2)participant’s behavioral characteristics, like how much they eat for a meal, the way they interact with people, how they use their fragmented time, etc. 3) participant’s different locations (home, office, restaurant, park, etc.) and spatial transfer, thus we can obtain participant’s life radius and how long they spend indoor and outdoor, etc.

我们生活在一个充满电子产品的世界里，并且深受其影响。这些电子产品为我们的生活带来极大的便利的同时，对它们的依赖性也让我们的时间越来越碎片化。

在这个项目中，我们将利用可穿戴式相机将个人的日常生活进行数字化，进而探寻电子产品在多大程度上改变了我们的生活。可穿戴式相机具有内置Wi-Fi和GPS，可以可以夹在用户的衣服上，每隔30秒自动拍照。我们将邀请五名不同年龄和不同职业的志愿者在一整周内佩戴相机，包括工作日和周末。在将照片提交给我们之前，他们可以自行删除涉及到隐私的照片。获得所有图像后，我们将通过人工识别、调用API、利用Matlab进行色彩这三种方式，识别所有图片中的主要信息。

照片中的主要信息包括：1）志愿者的日常活动（工作、吃饭、通勤、社交、娱乐等）和各类活动的时间分配；2）志愿者的行为特征，例如他们如何利用碎片时间；3）志愿者停留过的地理位置（家庭、办公室、餐厅、公园等）和在各场所间的空间转移，由此我们可以得到志愿者的生活半径以及他们在室内和室外花费的时间等。

Credits:

Long Ying 龙瀛, Pai Li 李派, Zhaoxi Zhang 张昭希.