Meeting #6 Minutes

Date of Meeting: March 25th, 2014
Time of Meeting: 2:50pm
Place of Meeting: Library
Members in Attendance: Brilzen Varghese, Dave Zhang, Jose Giron, Mike Anastasakis, Navin Rao
End of Meeting: 3:15pm
Secretary: Navin Rao

Agenda: To keep our group discussion active and share new ideas


Discussion: 

• The team designer, Jose Giron, presented the mock-up of the application to the group


• The mock-up included Google Map Navigation, Music, Climate, Web Browser, Phone, Contacts.


• Jose and Dave are going to have a WPF prototype running by next week including designs from the mock-up


• Some new ideas were presented:
• Since the Kinect has microphones on both sides, the Kinect can determine whether the driver or passenger are talking. Certain voice commands can have functionality depending on whether the driver or passenger said it. 
• For example, if I wanted to raise the volume of a song, I could say "Increase Volume" and have the function only work if the driver says it. It would not work for the passenger. 
• Face Tracking could possible unlock the app and grant the driver certain permissions. 


• Brilzen, Mike and me, Navin, will continue to brainstorm new ideas for the car design and implementation. 

Meeting Ended 3:15pm. 

Meeting #5 Minutes

Date of Meeting: March 18th, 2014
Time of Meeting: 2:55pm
Place of Meeting: Library
Members in Attendance: Brilzen Varghese, Dave Zhang, Jose Giron, Mike Anastasakis, Navin Rao
End of Meeting: 3:20pm
Secretary: Navin Rao

Agenda: To keep our group discussion active and share new ideas


Discussion: 

• To get the kinect to detect the user close while in a driver's seat, we realized we need 3 essential lines of code:
•  _sensor.DepthStream.Range = DepthRange.Near; (only works on Windows Kinect)
•  _sensor.SkeletonStream.EnableTrackingInNearRange = true;
• _sensor.SkeletonStream.TrackingMode = SkeletonTrackingMode.Seated; 


• Since we are not concerned with movement of our legs, we use the last line of code to only track our upper body movements. 


• The team designers will start to work on the mock-up for the application and will present it during the next group meeting. 

Meeting Ended at 3:20pm. 

Meeting #4 Minutes

Date of Meeting: March 4th, 2014
Time of Meeting: 3:00pm
Place of Meeting: Library
Members in Attendance: Brilzen Varghese, Dave Zhang, Jose Giron, Mike Anastasakis, Navin Rao
End of Meeting: 3:36pm
Secretary: Navin Rao

Agenda: To keep our group discussion active and share new ideas


Discussion: 

• We talked about the feasibility of the project idea "Strength Training". From our research, we realized the project is harder than we had thought. 


• Brilizen suggested changing the project to Car Information Station.
• In this project, we would have a similar interface to the Car Information Station project we had to design earlier this semester, except we would implement the Kinect sensor to detect body movements. The goal would be to design an app to control a smart car, like the Telsa touchpad, and sense movements to change/control functionality of the app. 
• For example, if I waved my arm to the right, the current screen or song would change. If I move my hand up, the volume would increase. 


• For homework, we said we would do more research on what kind of movements would be ideal in a car-like environment for the Kinect. (Full body movements cannot be implemented because the user would be sitting in the car)

Meeting Ended at 3:36pm. 

Meeting #3 Minutes

Date of Meeting: February 20th, 2014
Time of Meeting: 3:00pm
Place of Meeting: Library
Members in Attendance: Brilzen Varghese, Dave Zhang, Jose Giron, Mike Anastasakis, Navin Rao
End of Meeting: 3:14pm
Secretary: Navin Rao

Agenda: To discuss our research


Discussion: 

• We discussed different types of isolation type exercises that we looked up for homework. The following exercises were:
• Bicep Curls
• Tricep Extensions
• Lateral Raises


• For the first two exercises we described the function of the exercise and what muscle it aims to strengthen. We talked about how they were both similar in that the technique requires you not to move your elbows to isolate the muscle. The Kinect sensor should be able to focus on the elbows and arms so that the user is able to use proper form.

Meeting Ended at 3:14pm.