Complete Inertial Pose (CIP) Dataset

Contains the Complete Inertial Pose (CIP) Dataset: 1) Ergowear: acquisition using custom Ergowear wearable system (9 low-cost MARG sensors - MPU9250) and custom software. Contains ~4.17M@100Hz samples of data. 2) MTwAwinda: acquisition using XsensAwinda Mocap system (17 high-end MARG sensors - MTw) and the XsensMtManager software. Contains ~1.0M@60Hz samples of data. Both systems contain synchronized GT data from a commercial MoCap system (XsensAwinda Hardware + XsensAnalyse Software), sampled at 60Hz. Usage: Follow readme.md on the "code" folder. Updated code, with extended functionality can be accessed on github.com/ManuelPalermo/HumanInertialPose.

Supported by Grant: POCI-01-0247-FEDER-039479

Related Organizations

University of Minho
Portugal

Keywords

human-pose-estimation, MARG, dataset, IMU, sensor-fusion

Impact byBIP!

	selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	1
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average