Published February 9, 2025 | Version 1
Dataset Open

DATASET_SDALLE

Authors/Creators

  • 1. Associate Professor, Mechanical Engineering Department, Arab Academy for Science Technology and Maritime Transport, Sheraton Branch, Cairo 11757, Egypt
  • 2. Assistant Professor, Electronics and Communication Engineering Department, Arab Academy for Science Technology and Maritime Transport, Sheraton Branch, Cairo 11757, Egypt
  • 3. Professor, Electronics and Communication Engineering Department, Arab Academy for Science Technology and Maritime Transport, Sheraton Branch, Cairo 11757, Egypt;
  • 4. Associate Professor, Rheumatology and Rehabilitation Department, Faculty of Medicine, Ain Shams university, Cairo 11517, Egypt
  • 5. Professor, Mechatronics Engineering Department, Faculty of Engineering, Ain Shams University, Cairo 11517, Egypt
  • 6. Teaching Assistant, Mechatronics Engineering Department, Faculty of Engineering, Egyptian Russian University, Cairo, Egypt.

Description

The goal of this research is to capture and record precise lower-body muscle activity during activities such as walking, jumping, and stair navigation, all with the aim of designing a lower-limb exoskeleton to enhance mobility and rehabilitation.

This dataset is collected from 9 healthy subjects. SDALLE DAQ system is used for data collection with the inclusion of EMG and IMU sensors. Data has been extracted from the following muscles: (Rectus Femoris, Vastus Medialis, Vastus Lateralis, and Semitendinosus muscles on both the left and right sides). The intended activities are walking, jogging, stairs up and stairs down

This dataset is collected as part of the work done on the research project "Development of a Smart Data Acquisition system for Lower Limb Exoskeletons (SDALLE)" which is funded by Information Technology Industry Development Agency (ITIDA) – Information Technology Academia Collaboration (ITAC) program named grant CFP243/PRP.

Files

Files (235.3 MB)

Name Size Download all
md5:4c678a197e0c0843fc1dc5743f727483
167.6 MB Download
md5:fc3183a9ccf87f5750a0cac7ebad927d
67.7 MB Download

Additional details

Additional titles

Subtitle (En)
Human Activity Recognition (HAR) dataset for lower limb rehabilitation devices

Identifiers

URL
https://kaggle.com/datasets/eaa1f73cda207a5166400d08ce9c7002aa7872c35ed2f117942d7fa2814408fb

Funding

Information Technology Industry Development Agency
Development of a Smart Data Acquisition system for Lower Limb Exoskeletons (SDALLE) CFP243/PRP

Dates

Collected
2025-02
DATASET_SDALLE