1. CSc 219 Project Proposal
Raymond Fraizer

2. Goal To learn how to implement a neural network using R Studio.
Get experience with sensor data.

3. Finding a dataset
First looked at UCI repository for pattern recognition data
Found a list on Wikipedia that was easier to identify data source file types
Realized motion detection and classification was more what I wanted
Found PUC-rio data set at UCI repository

4. The paper Found the paper the data set was from
“Wearable Computing: Accelerometers’ Data Classification of Body Postures and Movements” by Ugulino et al
They used C4.5 with AdaBoost using 10 iterations of the boot and 10-fold cross validation of the test data
Their overall accuracy was 99.4%

5. Method
I intend to train a neural network to do the same classification and compare results
Using R Studio and nerualnet module
Network with one hidden layer – number of nodes to be determined by trials
Simple one-hot output – 5 classes so 5 output nodes