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