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。

Stylianos Paraschiakos, Beekman M. (Marian), Knobbe A. (Arno), Cachucho R. (Ricardo), Slagboom P. (Eline). This dataset 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 using multiple devices worn at different body positions: 3 GeneActives accelerometers mounted on the ankle, wrist and chest, 1 Equivital sensor placed on the chest, and COSMED devices worn with a bra and belt. The 35 participants completed a 90-minute protocol consisting of 16 daily living activities in a semi-laboratory setting. These activities include indoor and outdoor tasks with varying types and rhythms, covering low-intensity activities such as lying down and sitting, moderate-intensity activities including standing and household chores, and high-intensity activities like walking and cycling. Additionally, some activities can be specified with different levels of granularity. The study was conducted at LUMC between February and May 2015.

搜集汇总

背景与挑战

背景概述

GOTOV数据集包含35名60岁以上健康老年人的可穿戴传感器数据，覆盖16项不同强度的日常生活活动，用于研究身体活动和能量消耗。该数据集由莱顿大学医学中心于2020年发布。