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1 Lakshmi Baddam Oren Levy Marc Smith Marvin Howard Georgia Institute of Technology March 15, 2011.

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Presentation on theme: "1 Lakshmi Baddam Oren Levy Marc Smith Marvin Howard Georgia Institute of Technology March 15, 2011."— Presentation transcript:

1 1 Lakshmi Baddam Oren Levy Marc Smith Marvin Howard Georgia Institute of Technology March 15, 2011

2 2 Project Overview  Workout motivation tool that will manipulate music  Motivate runner to reach target heart rate  Available to iOS mobile users  Purchased in App Store for $1.00

3 3 Design Goals  User friendly GUI  Heart rate detection using Polar heart rate monitor  Music manipulation  Instantaneous performance data  Previous workout summaries

4 4 Design Overview Accelerometer Heart Rate Monitor Music Playlist User-defined Variables Music beatRunner GUI

5 5 User Input – Settings Screen Select paired HRM User defined variables used to calculate target heart rate and calories burned Enable music algorithm

6 6 App Features CardioFat burning Cross training  Select from three workouts  Set workout times  Select a playlist Main screens navigation buttons

7 7 Heart Rate Monitor (HRM)  Polar Wearlink+ Heart Rate Transmitter  Paired to iOS mobile device  Transmits heart rate via Bluetooth  Heart beats per minute displayed in GUI  Determine if user is in target heart rate zone

8 8 Heart Rate Detection Testing Unrecognizable packets in serial port terminal Experimenting with setup parameters

9 9 Workouts and Target Heart Rate (THR)  THR zone intensity Workout TypeTHR Zone Intensity Fat Burning60% - 70% Cardio70% - 80% Cross Training80% - 85% THR = (Maximum - Resting) * Intensity + Resting

10 10 Accelerometer  iOS mobile device’s 3-axis accelerometer  UI Accelerometer class in developer library  Receive x, y, z direction values from hardware

11 11 Accelerometer Testing  Display x, y, z direction values  Strong vs. weak force  Detect a step

12 Time Stretching  Change tempo while preserving pitch  Slow down song: repeat samples  Speed up song: remove samples  Done in milliseconds range  Two algorithm classes: Time Domain – SOLA Frequency Domain – Phase Vocoder 12

13 SOLA Time Stretching Algorithm  Synchronous-Overlap- Add  Time Domain  Overlapping offset  Window Length 73.9 BPM60 BPM 13

14 14 Song Selection  Must have the BPM in the ID3 tag  Place in order of BPM  Select based on ± 20 % of desired BPM  Keep play count 14

15 15 Cost Analysis  Budget: $400  Estimated equipment cost Polar Wearlink+ Heart Rate Transmitter with Bluetooth – $79.95  Development cost $41.27/hour wage: $56,908  125,000 downloads expected at $1.00 per download  Total profit: $68,091

16 16 Current Status Problems  Controlling music playback speed  Reading heart rate monitor values using terminal Progress  Reading accelerometer data  Detecting the Bluetooth heart rate monitor  Choosing music from the iPod library

17 17 Future Work  Finish heart rate monitor coding by 3/28/2011  Finish GUI by 3/28/2011  Finish pedometer coding by 3/24/2011  Finish SOLA algorithm by 3/28/2011  Integrate all modules into a single working app by 4/6/2011  Finish testing and debugging by 4/14/2011

18 18 Did you know...  In 2010, there were 39.989 million iPhone sales  An annual study found that 49.6% of Americans workout at least 30 min, three times a week  A study conducted listening to music boosts weight loss and helps people work out regularly  A study concluded that people who jogged while listening to music covered 24% percent more distance than joggers who did not listen to music 18


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