From raw measurements to human pose - a dataset with low-cost and high-end inertial-magnetic sensor data.

ABSTRACT: Wearable technology is expanding for motion monitoring. However, open challenges still limit its widespread use, especially in low-cost systems. Most solutions are either expensive commercial products or lower performance ad-hoc systems. Moreover, few datasets are available for the development of complete and general solutions. This work presents 2 datasets, with low-cost and high-end Magnetic, Angular Rate, and Gravity(MARG) sensor data. Provides data for the complete inertial pose pipeline analysis, starting from raw data, sensor-to-segment calibration, multi-sensor fusion, skeleton-kinematics, to complete Human pose. Contains data from 21 and 10 participants, respectively, performing 6 types of sequences, presenting high variability and complex dynamics with almost complete range-of-mot

SUBMITTER: Palermo M 

PROVIDER: S-EPMC9525570 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature