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Releases · matey97/TugTestSmartphone
v2.1.0
v2.0.0
This release contains the following features:
- Sensing devices: the paired smartwatch and the smartphone can be the source of the sensing data.
- Computing device: the smartphone is the device in charge of data processing.
- Activity Inference Models: the application supports CNN and MLP models for activity inference for each type of data source (i.e., smartphone, smartwatch).
- The application has two modes:
- COLLECTION: the data gathered by the sensing device is stored in a
jsonfile. - TUG: the gathered data is used processed and used in the activity inference model to obtain the current activity the user is performing and to compute the results of the test.
- COLLECTION: the data gathered by the sensing device is stored in a
Update README
- README improved with environment setup
- Screenshots added
Initial release
First release of TugTestSmartphone.
The application, paired with a smartphone running TugTestSmartwatch, allows the user the self-assessment of the TUG test.
The application receives sensor data from the smartwatch, processes it, and uses it in a ML model for activity inference during the execution of the test. Once the test has finished, the app computes and stores the results.