GOTOV (Human Physical Activity and Energy Expenditure Dataset on Older Individuals)

Stylianos ParaschiakosStylianos Paraschiakos, Beekman M. (Marian), Knobbe A. (Arno), Cachucho R. (Ricardo), Slagboom P. (Eline) 35 人（14 名女性，21 名男性）的基于可穿戴传感器的身体活动和间接量热数据) 健康的老年人（60 岁以上）。数据是从不同的身体位置和设备收集的：3x GeneActives 加速度计（脚踝、手腕和胸部）、1x Equivital（胸部）和 COSMED（胸罩和腰带）。 35 个人在半实验室环境中遵循 16 项日常生活活动约一个半小时的协议。这些包括不同类型或节奏的室内和室外活动，强度低（躺下、坐着）、中（站立、家庭活动）和高（步行和骑自行车）强度。此外，可以以不同的粒度指定一些活动。该研究于 2015 年 2 月至 5 月在 LUMC 进行。

This dataset, contributed by Stylianos Paraschiakos, Beekman M. (Marian), Knobbe A. (Arno), Cachucho R. (Ricardo), and Slagboom P. (Eline), contains wearable sensor-based physical activity and indirect calorimetry data from 35 healthy older adults aged 60 years or older, including 14 females and 21 males. Data were collected across multiple body positions using various devices: 3 GeneActives accelerometers worn on the ankle, wrist, and chest, 1 Equivital sensor placed on the chest, and COSMED devices equipped with bra and belt modules. The 35 participants completed a 1.5-hour protocol consisting of 16 daily living activities in a semi-laboratory setting. These activities cover indoor and outdoor tasks with diverse types and rhythms, including low-intensity movements such as lying down and sitting, moderate-intensity tasks like standing and household activities, and high-intensity exercises such as walking and cycling. Additionally, some activities can be defined with varying levels of granularity. This study was conducted at LUMC between February and May 2015.