Using wearable cameras to categorise type and context of accelerometer-identified episodes of physical activity.
Using wearable cameras to categorise type and context of accelerometer-identified episodes of physical activity.
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使用可穿戴摄像机对体育活动的加速度计识别发作的类型和上下文进行分类。
DOI：
10.1186/1479-5868-10-22
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发表时间：
2013-02-13
期刊：
影响因子：
--
通讯作者：
Foster C
中科院分区：
文献类型：
--
作者：
Doherty AR;Kelly P;Kerr J;Marshall S;Oliver M;Badland H;Hamilton A;Foster C
加速计可以识别某些身体活动行为，但不能识别它们发生的背景。这项研究调查了可穿戴相机客观分类参与者通过加速计识别的活动片段的行为、类型和背景的可行性。成人们得到了一个安装在臀部的电动加速度计和一个SenseCam可穿戴相机(通过挂绳佩戴)。两个设备上的车载时钟都是时间同步的。参与者进行为期3天的自由生活活动。实际数据被清理，并确定了久坐、轻生活方式、适度生活方式和中等到剧烈体力活动(MVPA)的事件。根据与时间匹配的SenseCam图像识别的社会和环境背景以及体力活动(PA)概要类别，对动作情节进行分类。从49名参与者中考虑了212天，从他们那里捕捉到SenseCam图像和相关的动作数据。使用SenseCam图像，对386个(3017个)随机选择的情节(如步行/交通、社交/非社交、家庭/休闲)的行为类型和背景属性进行了注释。在整个剧集中，确定了12个与PA汇编一致的类别，并确定了114个子类别类型。19%的情节无法将其行为类型和背景归类；59%的情节在户外，39%在室内；33%的情节被记录为休闲活动，33%的情节是交通工具，18%的情节是国内的，15%是职业的。在随机选择的情节中，33%包含直接社交互动，22%处于参与者没有参与直接参与的社交场景中。可穿戴式摄像头图像提供了一种客观的方法，可以捕捉81%的加速计识别的活动事件的活动行为类型和背景。可穿戴相机代表了目前可用的最好的客观方法，可以对加速计定义的自由生活条件下的活动的社会和环境背景进行分类。
Accelerometers can identify certain physical activity behaviours, but not the context in which they take place. This study investigates the feasibility of wearable cameras to objectively categorise the behaviour type and context of participants’ accelerometer-identified episodes of activity. Adults were given an Actical hip-mounted accelerometer and a SenseCam wearable camera (worn via lanyard). The onboard clocks on both devices were time-synchronised. Participants engaged in free-living activities for 3 days. Actical data were cleaned and episodes of sedentary, lifestyle-light, lifestyle-moderate, and moderate-to-vigorous physical activity (MVPA) were identified. Actical episodes were categorised according to their social and environmental context and Physical Activity (PA) compendium category as identified from time-matched SenseCam images. There were 212 days considered from 49 participants from whom SenseCam images and associated Actical data were captured. Using SenseCam images, behaviour type and context attributes were annotated for 386 (out of 3017) randomly selected episodes (such as walking/transportation, social/not-social, domestic/leisure). Across the episodes, 12 categories that aligned with the PA Compendium were identified, and 114 subcategory types were identified. Nineteen percent of episodes could not have their behaviour type and context categorized; 59% were outdoors versus 39% indoors; 33% of episodes were recorded as leisure time activities, with 33% transport, 18% domestic, and 15% occupational. 33% of the randomly selected episodes contained direct social interaction and 22% were in social situations where the participant wasn’t involved in direct engagement. Wearable camera images offer an objective method to capture a spectrum of activity behaviour types and context across 81% of accelerometer-identified episodes of activity. Wearable cameras represent the best objective method currently available to categorise the social and environmental context of accelerometer-defined episodes of activity in free-living conditions.
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影响因子：
5.5
作者：
Cooper, Ashley R.;Page, Angie S.;Jago, Russell
通讯作者：
Jago, Russell
影响因子：
2.1
作者：
Doherty, Aiden R.;Moulin, Chris J. A.;Smeaton, Alan F.
通讯作者：
Smeaton, Alan F.
影响因子：
3.3
作者：
Freedson, Patty S.;Lyden, Kate;Staudenmayer, John
通讯作者：
Staudenmayer, John
DOI：
10.1249/mss.0b013e3182399b7e
发表时间：
2012-01-01
期刊：
MEDICINE AND SCIENCE IN SPORTS AND EXERCISE
影响因子：
--
作者：
Freedson, Patty;Bowles, Heather R.;Haskell, William
通讯作者：
Haskell, William
影响因子：
5.5
作者：
Krenn, Patricia J.;Titze, Sylvia;Oja, Pekka;Jones, Andrew;Ogilvie, David
通讯作者：
Ogilvie, David