Sensor-based Pallet Activity Recognition in Logistics (SPARL Version 2) - A multi-modal Dataset
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下载链接：
https://zenodo.org/record/11280958
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资源简介：
SPARL is a freely accessible data set for sensor-based activity recognition of pallets in logistics. The data set consists of 20 recordings from three scenarios. A description of the scenarios can be found in the protocol file.
Four different sensors were used simultaneously for all recordings:
MSR Electronics MSR 145
Sampling rate 50 Hz
MBIENTLAB MetaMotionS
Sampling rate 100 Hz
Kistler KiDaQ Module 5512A
Sampling rate 100 kHz
the raw data is also downsampled to 5 kHz and 20 kHz for easier processing
Holybro Flightcontroller PX4FMU
The board uses two accelerometers and two gyroscopes, all with a sampling rate of 1000 Hz
Accelerometer 1: IvenSense MPU6000
Accelerometer 2: STMicroelectronics LSM303D
Gyroscope 1: IvenSense MPU6000
Gyroscope 2: STMicroelectronics L3GD20
The recordings were accompanied by three logitech Mevo Start cameras, of which all recordings are included anonymously in the data set.
The videos were annotated by one person in each frame. For this purpose, the annotation tool SARA was used, which can be found here. The JSON schema used for annotation is also included in the SPARL dataset. The R code used our evaluation can be found in GitHub.
If you have any questions about the dataset, please contact: sven.franke@tu-dortmund.de
创建时间：
2024-11-18
