
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.
Activities of Daily Living/classification, Deep Learning, Wearable Robotics, Human Activity Recognition, Activities of Daily Living, EMG Sensors, IMU sensors
Activities of Daily Living/classification, Deep Learning, Wearable Robotics, Human Activity Recognition, Activities of Daily Living, EMG Sensors, IMU sensors
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