首页/数据集/GPS wear time and average daily valid GPS points by different types of data completion.

GPS wear time and average daily valid GPS points by different types of data completion.

Figshare2021-05-06 更新2026-04-28 收录

数据链接：

https://figshare.com/articles/dataset/GPS_wear_time_and_average_daily_valid_GPS_points_by_different_types_of_data_completion_/14550101 数据链接链接失效反馈

官方服务：

资源简介：

GPS wear time and average daily valid GPS points by different types of data completion.

应用场景：

创建时间：

2021-05-06

可穿戴设备数据

人类活动识别

This dataset contains three-axial accelerometer, magnetometer, and gyroscope data recorded from different parts of the body: dominant wrist, hip, and ankle while performing 17 different daily-life act

DataONE2021-02-24 更新80

Patterns of human activity in green spaces managed by Conservation Halton using anonymized locations of smart devices

绿色空间利用

可穿戴设备数据

We used anonymized locations of smart devices to determine how people used green spaces for properties managed by Conservation Halton. The smart device data was acquired from Mapbox Movement (https://

DataCite Commons2025-06-01 更新40

Development Group -- Wrist

睡眠活动监测

可穿戴设备数据

This data is accelerometry data from devices participants in the development group wore on their wrists. The first six characters identify the participant. These files are output from an Actigraph nat

Figshare2017-12-13 更新30

Replication Data for: The Use of A Finger-Worn Accelerometer for Monitoring of Hand Use in Ambulatory Settings

手部活动监测

可穿戴设备数据

This dataset contains three-axis accelerometer data obtained from bilaterally-placed finger-worn and wrist-worn sensors that were collected from the in-laboratory and free-living experiments. The desc

NIAID Data Ecosystem70

行为识别惯性传感数据集

人体活动识别

可穿戴设备数据

数据集采用VICON Blue Trident九轴惯性传感器（包含加速度计、陀螺仪和磁力计）同时捕获通过多个人体部位的运动信息，实现对日常人体活动的记录，其中包括卧、站、坐起、跑步、步行、骑行、上下楼梯、跳绳等，为本项目穿戴式应用中的活动监测算法研发提供数据支撑。

国家人口健康科学数据中心40