Center for Machine Learning and Intelligent Systems 		About  Citation Policy  Donate a Data Set  Contact


Repository Web            Google
View ALL Data Sets

Weight Lifting Exercises monitored with Inertial Measurement Units Data Set
Download: Data Folder, Data Set Description

Abstract: Six young health subjects were asked to perform 5 variations of the biceps curl weight lifting exercise. One of the variations is the one predicted by the health professional.

Data Set Characteristics:  

Multivariate

Number of Instances:

39242

Area:

Physical

Attribute Characteristics:

Real

Number of Attributes:

152

Date Donated

2013-11-24

Associated Tasks:

Classification

Missing Values?

Yes

Number of Web Hits:

38881

Source:

Wallace Ugulino (wugulino '@' inf.puc-rio.br), Pontifical Catholic University of Rio de Janeiro (Brazil).
Eduardo Velloso (e.velloso '@' lancaster.ac.uk), Lancaster University - UK.


Data Set Information:

Velloso, E.; Bulling, A.; Gellersen, H.; Ugulino, W.; Fuks, H. Qualitative Activity Recognition of Weight Lifting Exercises. Proceedings of 4th International Conference in Cooperation with SIGCHI (Augmented Human '13) . Stuttgart, Germany: ACM SIGCHI, 2013.
Read more: [Web Link]#ixzz2lZizjhaF


Attribute Information:

Each IMU has x, y, and z values + euler angles (roll, pitch and yaw). For each time window (1s of data), there are several statistics calculations, like Kurtosis, Variance, etc.


Relevant Papers:

N/A



Citation Request:

Velloso, E.; Bulling, A.; Gellersen, H.; Ugulino, W.; Fuks, H. Qualitative Activity Recognition of Weight Lifting Exercises. Proceedings of 4th International Conference in Cooperation with SIGCHI (Augmented Human '13) . Stuttgart, Germany: ACM SIGCHI, 2013.
Read more: [Web Link]#ixzz2lZizjhaF

Supported By:

 In Collaboration With:
About  ||  Citation Policy  ||  Donation Policy  ||  Contact  ||  CML