# SWIFTIES (Subject and Wearables data for Investigation of Fatiguing Tasks In Extension/flexion of Shoulder/elbow)

 This research was funded by Science Foundation Ireland under Grant number 16/RC/3918 (CONFIRM) and 12/RC/2289-P2 (INSIGHT) which are co-funded
 under the European Regional Development Fund.


### LICENSE

 This work is licensed under the Creative Commons Attribution 4.0 International License. 
 To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ or send a letter to Creative Commons, PO Box 1866, Mountain
 View, CA 94042, USA.

### DESCRIPTION

 32 subjects (17 males, 15 females) performed 8 shoulder and elbow flexion-extension tasks with the dominant arm until fatigue. Tasks were 
 performed at 25% and 45% of the maximum voluntary contraction (MVC) force in a static and dynamic manner. Every combination of movement (static
 or dynamic) x joint (shoulder or elbow) x load (25% or 45% of MVC Force) was performed by every subject. Subject data includes information on 
 demographic and anthropometrics, rate of perceived exertion (RPE), endurance time of tasks, MVC forces, and loads lifted. Sensor data includes 
 inertial measurement unit (IMU), electromyography (EMG), motion capture (MC) and pressure insole (PI) data.  

 Please refer to the description.txt file for detailed information. 


### INCLUDED FILES AND FOLDERS

-'README.txt': this .txt file.
-'description.txt': properties of the dataset. 
-'FolderOrganisation.jpg': organisation and location of dataset files.
-'SensorsFrontView.jpg': sensor placement from the front.
-'SensorsArmView.jpg': sensor placement focussing on the arm.
-'MC_MarkerPlacement.jpg': anatomical landmarks that markers are placed for the chosen marker placement convention.
-'SensorDataSummary.xlsx': Quality of sensor data in the dataset (missing/partially missing/good) for each subject and sensor.
-'Sensor_Data' folder contains 32 folders, named 'Sub#' where # ranges from 3 to 34, one folder for each subject.		
		-The 32 folders from 'Sub3' to 'Sub34', each contain:
			-'EMG' folder:
				-CSV file for each task (StSh25, StSh45, DySh25, DySh45, StEl25, StEl45, DyEl25, DyEl45)
				-CSV file for MVC exercises (Elbow_MVC1, Elbow_MVC2, Shoulder_MVC1, Shoulder_MVC2)
				-Each CSV contains data for all 5 EMG sensors used
			-'IMU' folder:
				-'Forearm' folder:
					-CSV file for each task (StSh25, StSh45, DySh25, DySh45, StEl25, StEl45, DyEl25, DyEl45)
					-Each CSV contains data for the forearm IMU			
				-'Hand' folder:
					-CSV file for each task (StSh25, StSh45, DySh25, DySh45, StEl25, StEl45, DyEl25, DyEl45)
					-Each CSV contains data for the hand IMU
				-'Shoulder' folder:
					-CSV file for each task (StSh25, StSh45, DySh25, DySh45, StEl25, StEl45, DyEl25, DyEl45)
					-Each CSV contains data for the shoulder IMU
				-'Torso' folder:
					-CSV file for each task (StSh25, StSh45, DySh25, DySh45, StEl25, StEl45, DyEl25, DyEl45)
					-Each CSV contains data for the torso IMU
				-'Upperarm' folder:
					-CSV file for each task (StSh25, StSh45, DySh25, DySh45, StEl25, StEl45, DyEl25, DyEl45)
					-Each CSV contains data for the upperarm IMU
			-'MC' folder:
				-CSV file for each task (StSh25, StSh45, DySh25, DySh45, StEl25, StEl45, DyEl25, DyEl45)
				-C3D file for each task (StSh25, StSh45, DySh25, DySh45, StEl25, StEl45, DyEl25, DyEl45)
				-TAK file for each task (StSh25, StSh45, DySh25, DySh45, StEl25, StEl45, DyEl25, DyEl45)
				-Each MC file contains data for 27 markers in the Upper Conventional marker set-up
			-'PI' folder:
				-CSV file for each task (StSh25, StSh45, DySh25, DySh45, StEl25, StEl45, DyEl25, DyEl45)
				-Each CSV contains force data for all sensors (heel, midfoot, forefoot) for both feet and the sum of the force
				 per foot

-'Subject_Data' folder:
	-'Borg_RPE' folder:
		-CSV file for each task (StSh25, StSh45, DySh25, DySh45, StEl25, StEl45, DyEl25, DyEl45)
		-Each CSV contains the Borg RPE includes the exertion score for each subject at regular intervals and at the completion of the
		 task
	-'Subject_Data' also contains the following CSV files:
		-'Anthropometrics': Variables include length, width and depth of arm segments
		-'Forces_El': Variables include MVC forces and loads lifted during elbow tasks
		-'Forces_Sh':  Variables include MVC forces and loads lifted during shoulder tasks
		-'Personal_Info': Variables include Age, Sex, Weight, Height
		-'Task_Times': Durations of each task for each subject