Solar and Kinetic Energy Harvesting Dataset for Human Activity Recognition (SKEH)

Brief description

This data was collected from wearable accelerometer, solar and kinetic energy harvesters for human activity recognition. The data was collected to explore the performance of solar and kinetic energy harvesters in recognising various human activities to enable self-powered operation of wearable devices.
Lineage: Data Collection
Sensors Used:
Kinetic energy harvester: MIDÉ Technology S230-J1FR-1808XB two-layer piezoelectric bending transducer.
Solar energy harvester: IXYS SLMD121H10L solar module
Accelerometer: InvenSense MPU9250
All data stored at 100 Hz.
Data Collection Device (SEH and KEH): Beaglebone Green
Collection Period: From November 2018 to June 2022
Environment: Indoor and outdoor
Collection Protocol: Data during 5 activities from each participant


Dataset Structure:
Folder and File Organization:
The data is organised in 2 folders:
Indoors
Outdoors

Each folder has three subfolders:
Accelerometer
KEH
SEH

Five files in each folder (running.csv, sitting.csv, stairs.csv, standing.csv, walking.csv)
File Formats: CSV for time-series data
Data Schema:
Kinetic energy harvester:
`Data`: [Ampere]
Solar energy harvester:
`Data`: [Ampere]
Accelerometer:
`acc_x`: [g]
`acc_y`: [g]
`acc_z`: [g]


Raw Data Status: This is raw data segmented into 5 activities (break period were removed).
Preprocessing Steps:
Resampling: Solar and kinetic energy harvesting data was downsampled from 100 kHz to 100 Hz using linear interpolation.
Segmentation: Data was segmented into 5 activities and break periods were removed.


Please cite the relevant work.
1- Sandhu, Muhammad Moid, et al. "Fusedar: Energy-positive human activity recognition using kinetic and solar signal fusion." IEEE Sensors Journal 23.11 (2023): 12411-12426.
2- Sandhu, Muhammad Moid, et al. Self-Powered Internet of Things: How Energy Harvesters Can Enable Energy-Positive Sensing, Processing, and Communication. Springer Nature, 2023.
3- Sandhu, Muhammad Moid, et al. "SolAR: Energy positive human activity recognition using solar cells." 2021 IEEE International Conference on Pervasive Computing and Communications (PerCom). IEEE, 2021.