beatRunner Mobile App
Contents
1. 2010 January 13 Prevalence and Trends in Obesity Among US Adults 1999 2008 Online Available http jama ama assn org content 303 3 235 full ijkey 1 K Hq6YbJn3Oo amp keytype ref amp siteid amajnl s Accessed February 18 2011 4 B Dolan 2011 January 20 Study 42 percent of U S uses a smartphone Online Available http mobihealthnews com 6178 study 42 percent of u s uses a smartphone Accessed February 18 2011 5 Nike Nike Online Available http www nikeplus com Accessed February 18 2011 6 Apple Nike BOOM Online Available http itunes apple com us app nike boom 1d381439239 mt 8 Accessed February 18 2011 7 A Viklund Workout Music Studio Unleash the Power of your Music Online Available http www bestworkoutmusic com repacer html Accessed February 19 2011 8 Apple Inc Library Online Available http developer apple com library Accessed Feb 05 2011 beatRunner ECE4007L05 20 9 Listening To Music When You Work Out Helps Your Fat Loss Manvfitness Online 2010 http www manvfitness com 559 listening to music makes you fitter helps lose body fat what Accessed February 20 2011 10 Are Americans Exercising Less WebMD Online Available http www webmd com fitness exercise news 20100121 are americans backing off exercise Accessed February 20 2011 11 M Ringwald 2011 April 12 btstack Architechure Revisio2. Audio is played back in stereo meaning the user can listen to two independent audio channels In order to provide a smooth transition between songs for the user the time latency between songs will be 0 sec All audio specifications were met in the final product as the features were not altered in the design process Table 4 Audio Specifications Feature Specification Met Audio Sampling Frequency 44 1 kHz Yes Audio Output Stereo 2 Channel Yes Latency between songs 0 sec Yes beatRunner ECE4007L05 3 2 Application Specifications Table 5 describes Apple s hardware specifications for the iOS operating system The three axis accelerometer works as a pedometer and is used to calculate the distance ran in a workout There are four push buttons used two push buttons to control the app s audio volume one push button to navigate back to the home screen from the app and one to lock the device while the app is running The Multi Touch Screen Display is required for the user to communicate with the app using touch gestures The beatRunner app was tested to compatible with mobile devices running on iOS operating system 4 3 or later The initial design was not compatible with 1OS versions before 4 3 as the app utilizes the BPM tag feature only available after 4 3 This feature is used to choose choice and categorize songs according to BPM Table 5 Application Specifications Feature Spe
3. to calculate valuable statistics for the app such as the target heart rate The user may choose to input his her average foot step length in feet by filling out the respective text field in the Settings screen If the user chooses not to enter his her average foot step length then the default average value of two feet per step is used to calculate the distance ran by the user One the user is ready to calculate his her resting heart rate he she is required to press the Get HR button The resting heart rate is used to calculate the user s target heart rate in the Workout Status screen depicted in Figure 4 As soon as the Create Playlist Begin Workout button is clicked the user is navigated to his her iPod library to choose songs Once the user clicks the Done button in the iPod library screen the user will be able to view his her current work out details in the Workout Status screen depicted in Figure 4 beatRunner ECE4007L05 12 T 3 41 PM Workout Status Time Elapsed Figure 4 Workout Status Screen The details in the Workout Status screen include the amount of time since the workout was started the distance ran current heart rate target heart rate target BPM and calories burned The application will display the song currently playing and will allow the user to play pause the workout or skip to the next song Once the duration of the workout is reached a Save button at the upper left corne
4. 2 Calories Burned 0 2017 age 0 09036 weight 0 6309 AHR 55 0969 elapsed time 4 184 Equation 3 4 1 4 Special Cases Notifications and Interrupts Software Interrupts Software Interrupts were designed as originally planned If the user decides to either answer decline or ignore a phone call while the app is running the workout and songs are both paused and automatically restarted when the call is ended When a text message is received the beatRunner ECE4007L05 14 app does not be affected Hardware Interrupts Planned hardware interrupts were successfully implemented in the final design When the app is running and the user presses the lock or home key the workout and music continues uninterrupted Battery Outage In case of a battery outage during a user s workout all current workout statistics will be lost and will not be saved 4 2 Codes and Standards The beatRunner was designed to work on the Apple s iOS operating system The app was written in Objective C and was created in the Xcode integrated development environment IDE The design was altered due to Apple s Bluetooth restrictions on data transmission to use the Internet to transmit the heart rate data Heart rate data 1s required to be transferred to the PC using a USB prior to posting the heart rate wirelessly to a web server thereby making the app not portable The limited processing power of 1OS restricted us from implementing the te
5. 21 11 Hard Team Final Presentation 8 Days 4 20 11 4 29 11 Prepare Presentation 8 Days 4 20 11 4 29 11 Medium Team Present 0 Days 4 29 11 4 29 11 Milestone Team Final Demonstration 5 Days 4 29 11 4 5 11 Prepare Demonstration 5 Days 4 29 11 4 5 11 Medium Team Give Demo 0 Days 5 5 11 5 5 11 Milestone Team Final Report 0 Days 5 5 11 5 5 11 beatRunner ECE4007L05 22
6. Conclusions and Future Worker cedet Letto en wien dui ease he 18 References uo ouo oda cts ue o esc tectus 19 APPRODO La RR ARR ua IM SEN e Mae 21 Table of Contents beatRunner ECE4007L05 Executive Summary beatRunner is an iOS operating system compatible workout tool It serves as a workout organizer and performance view tool that allows the user to analyze and compare his her workout performance The app provides the user with three workout options cardio fat burning and cross training The user may customize the intensity of the workout and time durations He she may also select a customized playlist to play during his her workout All workouts completed can be saved by the user in the iOS device Each workout s summary includes the date time distance calories burned and the target BPM The beatRunner app requires the user to own a Polar T31 coded heart rate monitor and Sparkfun s heart rate monitor interface in order to retrieve the user s heart rate data A simple music selection algorithm was implemented to allow the music player to choose songs that are closest the user s target BPM The beatRunner app is required to be submitted for review to Apple Inc before being sold in the App Store Once Apple Inc approves it the app will be published in the App Store and will be available to all iOS mobile device users to download at the cost of one dollar per download The demonstration of the final product was held in the Van Leer b
7. algorithm Provides instantaneous workout data during workout Provides instantaneous workout data during workout Provides workout summary history Provides workout summary history beatRunner ECE4007L05 The actual product is not portable as planned It is a consequence of eliminating Bluetooth from the project and transmitting heart rate data via USB to a PC and sending the data from the PC to the iOS device wirelessly Explained below are the approaches taken for problems and how a final solution was achieved 2 1 Problems and Solution Heart Rate Data Transmission Problems Encountered with Polar WL HRM The initial goal was to pair the Bluetooth enabled HRM to the iOS device transmit the user s heart rate via Bluetooth and receive and display the data on the 1OS device In order to test the functionality of the Polar WL HRM it was paired with a Mac Book Pro laptop CoolTerm a serial port terminal application was utilized to receive packets and display the data In order to successfully receive the transmitted data information about the Polar WL HRM such as baud rate parity number of bits number of stop bits is required The user manual did not consist of the necessary information and a Polar support personal was contacted regarding the issue However personal informed the team that the information is proprietary The team used a trial and error method by experimenting with different baud rates parities numbe
8. beatRunner Mobile App ECE4007 Senior Design Project Section L05 beatRunner Team Project Advisor Dr Arthur Koblasz Oren Levy Team Leader Marc Smith Marvin Howard Lakshmi Baddam Submitted March 5 2011 Executive Summary aula za iii f trod ucton 5 iniri ele ea eae eth 1 17 3OBIGCUS e rale ira 1 22 Mot VAIO ones topo er essa arnt Eua aee RD RARI UR E quu mU AE UN Ade 2 2 Project Description and Goals 2 2 1 Problems and solutions Heart Rate Data Transmission 3 2 2 Music Mamp latio Niin eaa et a a a 5 2 2 Instantaneous Workout Data and Workout Summary 7 3 Technical Speciali olii adibire 8 3 1 Audio Specifications lele a Reali 8 3 2 ApplicattornSPeGiticanonNsz odore eta stia reda 9 4 Design Approach and Details cisricriicinizicinivaneriainniiziazi nica eap Fe aae edd 9 TT ADESISM Approach de uc mtr ta t te site ak tesa le Ate iii 9 Adil IOS SDE reload 10 4 1 2 Graphical User Interface veg Aeneas DI 4 1 3 Target Heart Rate and Calories Burned Ma dan aaa nam EE E 13 4 1 4 Special Cases Notifications and Interrupts eeneeeeenee 14 4 2 Codes and Standards c ses o ertet eret A e EE E LR eR E erae p ea 15 5 Schedule Tasks and Milestones eene emen 16 6 Results and Acceptance Testing oe ee Iaia es 17 7 Budget and Cost AnalysiS i 17 8
9. cification Met Used iPhone inputs 3 axis accelerometer Yes Multi Touch Screen Display 4 Push Buttons Supported operating systems iOS 2 0 or later iOS 4 3 or later Compatible Mobile Devices iPhone Original 3G 3GS 4 Yes iPod Touch 2nd generation and later iPad 4 DESIGN APPROACH AND DETAILS 4 1 Design Approach As originally planned the beatRunner app was built using the iOS software development kit SDK developed by Apple The 10S SDK contains frameworks and Xcode tools that will be utilized in the beatRunner app design beatRunner ECE4007L05 9 4 1 1 iOS SDK Frameworks As originally planned Layers from the iOS SDK were used to implement functionalities The Cocoa Touch Layer s UI Kit was used for event handling For example when the user clicks the Done button depicted in Figure 4 the UI Event class in the UI Kit is utilized to detect the click and launch the Current Workout Status screen displayed in Figure 5 The Media Player framework in the Media Layer was used to access to the user s iPod library in the mobile device and support for playing tracks and play lists It was utilized to allow the user to select a customized play list before a workout see Figure 4 and pause skip and play songs during his her workout see Figure 5 To satisfy the task of pedometer the beatRunner application uses a function within the Shake API The Shake API was used to detect shakes in the iPhone There are three events that are use
10. d to implement this method Motion Begin Motion End and Motion Cancelled These three events allow the application to account for every movement while the code is being executed As soon as the device is moved the Motion Begin increments the count by two two to account for each step of the individual and calls Motion End after each step If the application is exited out of or phone completely stops movement then Motion Cancelled is called causing the method to end Tools Three Xcode tools were utilized to design create debug and optimize the beatRunner app The beatRunner app code was written in Objective C and was created and compiled in the Xcode integrated development environment IDE tool As originally planned The IDE was used in conjunction with the Simulator tool to test the app s user interface UI prior to uploading to a mobile device The Interface Builder IB was utilized to customize and create the app s screens beatRunner ECE4007L05 10 depicted in Figures 2 3 and 4 visually GUI components such as buttons navigation keys labels and drop down menus were constructed and customized using IB as planned 4 1 2 Graphical User Interface I cardio Duration Cross Training EA Figure 2 New Workout Screens The New Workout Screen is displayed when the user loads the beatRunner app on the mobile device and is depicted in Figure 2 The user will select hi
11. e between the Settings screen and to begin the actual workout The accuracy of heart rate data was also tested The HRMI transmits 32 bit data in which the first byte indicates whether accurate data was transmitted A value of one indicates accurate data and all other values indicate spurious data For total of 100 readings 93 of the readings were detected to be accurate which is sufficient During the demonstration the tested features were displayed in the app and successfully verified 7 BUDGET AND COST ANALYSIS The total development cost for a prototype of the beatRunner app was 56 908 22 The equipment cost for the prototype was higher than originally planned since the Polar WL HRM was replaced with the Polar T31 HRM and the Heart Rate Monitor Interface HRMI The additional cost for the Polar T31 and the HRMI was 44 50 and 59 95 respectively The hourly beatRunner ECE4007L05 17 labor wage was set to 41 27 and takes fringe benefits and overhead costs into account the total labor cost amounts to 56 828 27 As planned the music manipulation module required higher number of labor hours than others However problems with Bluetooth communication was predicted to take less than 24 labor hours but the resultant design required the team to work more than 60 labor hours on debugging and researching on methods to establish Bluetooth connectivity with the iOS device Table 7 Parts Part Price Polar T31 HRM 44 50 Pola
12. e provided library called MediaPlayer was used in order to change a song s playback rate in real time A property called currentPlaybackRate is listed in the class s reference to manipulate a song s playback rate Although the class provides a description of the property when used it resulted in a crash in the program After researching through developer forums it was determined that the property is not accessible to developers as advertised in the class reference It can only be altered if the developer has access to the m files of the Media Player library However the m files are closed source and Apple does not give access to developers view or download them After two unsuccessful attempts at devising algorithms to implement music manipulation in the application it was determined that this segment of the application was beyond the scope of the project To allow for real time music manipulation each song would need to be split into small frames Each frame would need to be windowed processed and then reconstructed for playback Currently there are not any music manipulation libraries available for iOS which provide this method of processing A new library would have to be written in order to achieve this which is a project in its own right Therefore it was concluded to remove the manipulation feature from the final product beatRunner ECE4007L05 6 A song selection algorithm was implemented instead Given that the user selects a playlis
13. k Name Duration Start End Proposal 6 Days 2 14 11 2 21 11 Turn in Proposal 0Days 2 21 11 2 21 11 User Interface 60 Days 2 21 11 5 4 11 Construct Screens GUI 0Days 3 8 11 3 8 11 Heart Rate Monitor 45 Days 3 9 11 425 11 Interfacing w iPhone 0Days 3 11 11 3 11 11 Alternative Solution 0 Days 3 15 11 3 15 11 Accelerometer 16 Days 4 9 11 4 29 11 Develop Pedometer Algorithm 0 Days 4 15 11 4 15 11 Music Manipulation 50 Days 3 9 11 4 30 11 Develop Tempo Adjustment Algorithm 0 Days 4 5 11 4 5 11 Integration 15 Days 4 5 11 4 20 11 Combine Modules 0Days 4 13 11 4 13 11 Demonstration 6 Days 4 29 11 5 6 11 Demo 0 Days 5 5 11 5 5 11 FINAL PRESENTATION 3 Days 4 17 11 4 20 11 beatRunner ECE4007L05 16 6 RESULTS AND ACCEPTANCE TESTING Testing was done to determine if the use of the accelerometer s shake API resulted in accurate step detection For a five minute run 90 of the steps were detected which was sufficient The user interface navigability was also tested to determine the average time a user will spend between starting the app and actually beginning a new workout Before the user begins the workout he she must choose the workout type level and duration complete the user specific information such as weight etc in the Settings screen and choose a playlist The goal which was to build an easily navigable user interface was achieved as it took less than five seconds to navigat
14. lly receive heart rate data on an iOS device An alternative to Apple s native Bluetooth stack called BTstack is available The pros and cons of the BTstack are provided in Table 2 Table 2 BTStack Pros Cons Unrestricted pairing iOS mobile device jailbreak required Data and file transfer Solid understanding of Bluetooth protocol required Not tested or compatible with latest 1OS 4 3 Although the BTstack provides unrestricted pairing and data receiving transmitting functionality via Bluetooth an 1OS device is required to be jailbroken in order to override Apple s Bluetooth stack and download the BTstack This is a major disadvantage as Apple requires all apps to be functional on non jailbroken devices in order for it to be sold in the App Store Also there is a steep learning curve for a developer to implement the BTstack in his her application The BTstack architecture consists of a Bluetooth server that contains a run loop socket server and the beatRunner ECE4007L05 4 Bluetooth stack 11 It is important for the developer to understand how the data packets are sent received and extracted at each stage in order to successfully implement the BTstack in his her application It was beyond the scope of the project to do deep research on Bluetooth protocol therefore the use of Bluetooth to transmit heart rate data was eliminated Internet based Solution to Transmit Heart Rate Data Figure 1 Design Data Flo
15. mpo changing music manipulation algorithm originally designed The app was developed using frameworks and resources provided by the OS SDK for developers The beatRunner app has to be approved by Apple Inc before marketing it in the App Store It is required to be submitted as a fully functional app and cannot be submitted as a trial demo or beta version app beatRunner ECE4007L05 15 5 Scheduled Tasks and Milestones Over the last three months several steps were vital to the completion of the beatRunner app Table 6 depicts the major milestones and tasks to be accomplished in italics and bold print respectively The programming process will begin upon conclusion of the proposal The beatRunner project will be completed in modules by dividing each task among the team members to reduce redundancy and utilize time efficiently The first step will begin with the construction of the user interface Afterwards the programming of the heart rate monitor accelerometer and the music manipulation will commence simultaneously Once completed all modules will be combined for integration and simulation The final product produced will be demonstrated and presented at the end of the semester Appendix 1 provides a more detail account of responsibilities and difficulties as well as a Gantt chart showing the overall schedule of events Table 6 Schedule of Task and Milestones Tas
16. n 1090 Online Available http code google com p btstack wiki Architecture beatRunner ECE4007L05 21 Appendix 1 Table A1 Gantt Chart Details Task Name Duration Start End Difficulty Responsible Proposal 6 Days 2 14 11 2 21 11 Turn in Proposal 0Days 2 21 11 2 21 11 Milestone Team User Interface 60 Days 2 21 11 5 4 11 Construct Screens GUI 3Days 2 21 11 2 23 11 Milestone Team Develop Screen Navigation 6 Days 2 24 11 3 311 Medium Team Functionality 9 Days 2 24 11 3 8 11 Hard Lakshmi Heart Rate Monitor 45 Days 3 9 11 4 25 11 Connect w iPhone 3 Days 3 9 11 3 11 11 Milestone Marc Alternative Solution 3Days 3 12 11 3 15 11 Milestone Marc Display data in GUI 3 Days 3 16 11 3 18 11 Medium Lakshmi Accelerometer 16 Days 3 9 11 3 29 11 Develop Pedometer Algorithm 6 Days 3 9 11 3 15 11 Milestone Oren Display info in GUI 10 Days_ 3 16 11 3 29 11 Medium Lakshmi Music Manipulation 50 Days 3 9 11 4 30 11 Determine BPM 7 Days 3 9 11 3 16 11 Hard Marvin Song Choice Algorithm 14 Days 3 17 11 4 5 11 Hard Marvin Tempo Adjustment Algorithm 14 Days _ 3 17 11 4 5 11 Milestone Team Integration 15 Days 4 5 11 4 20 11 Combine all Modules 7 Days 4 6 11 4 13 11 Milestone Team Test amp Debug 6 Days 4 4 11 4 21 11 Fix Errors amp Simulation 6 Days A 14 11 4
17. r WL HRM not used 59 95 HRMI 79 95 8 Conclusions and Future Work The demonstration of the altered designed was successful as it verified the app features and heart rate readings The two main issues in the project were the inability to use Bluetooth to transfer heart rate data to the iOS mobile device and implementing the music manipulation algorithm It will be a challenge for future engineers to implement a music manipulation algorithm in the app as mobiles devices have low processing power and changing the tempo of a song requires complex DSP algorithms Future work should be devoted to making the app portable by developing it for another mobile environment such as Android that utilizes an open source operating system and gives the developer the freedom of using Bluetooth to transfer data This would require developing the app from scratch as Android developers are required to use the beatRunner ECE4007L05 18 Java programming language to develop apps beatRunner ECE4007L05 19 REFERENCES 1 E Quinn 2010 May 14 7he Warm Up How To Warm Up Before Exercise Online Available http sportsmedicine about com cs injuryprevention a aa071001a htm Accessed February 4 2011 2 M Mulrooney 2010 January 31 How to Calculate Heart Rate With the Karvonen Method Online Available http www livestrong com article 78034 calculate heart rate karvonen method Accessed February 20 2011 3 K Flegal
18. r is set visible in order to allow the user to save each workout s statistics 4 1 3 Target Heart Rate and Calories Burned Heart Rate Target Heart Rate Warm Up Work Out Cool Down Time Figure 5 Example of a full workout beatRunner ECE4007L05 13 As originally planned the final beatRunner app require the user to input his her age resting heart rate and choose from three workouts All three workouts take the shape of the graph in Figure 5 where the x axis is time and the y is heart rate The only difference between the three workouts is the target heart rate THR zone The maximum heart rate MHR for the user will be determined by the app by subtracting the user s age from 220 2 The target heart rate for each workout is calculated using the Karvonen method The Karvonen method uses the resting heart rate RHR to find the THR using the Equation 2 THR MHR RHR intensity RHR Equation 2 The THR zone is found by obtaining the THR for the upper and lower percentage of the workout For a fat burning workout the target heart rate zone is between 60 and 70 intensity A cardio workout has a THR zone between 70 and 80 intensity A cross training workout has a THR zone between 80 and 85 intensity The calories burned during a workout were determined using Equation 3 considering the user s age in years weight in pounds average heart rate AHR and elapsed workout time
19. r of bits and stop bits However it was determined that the received packets from the Polar WL HRM were specially encoded and it requires a specific command to decode the data Problems Encountered with Bluetooth and iOS An alternative method was chosen to extract readable heart rate data from a heart rate monitor and transmit data to an iOS device It required the use of the following components e Polar Coded T31 HRM to provide the user s ECG signal e Heart Rate Monitor Interface HRMI to convert the ECG signal to readable heart rate data e Arduino BT microcontroller to receive data from HRMI and transmit to iOS device via Bluetooth beatRunner ECE4007L05 Important Bluetooth information such as baud rate parity number of bits number of stop bits was provided in HRMI data sheet In order to test the functionality of the module the Arduino BT was successfully paired with a MacBook Pro initially and heart rate data was displayed in CoolTerm However the pairing of the Arduino BT to an iOS device was unsuccessful It was determined using research that the pairing with an 1OS device is limited to Apple approved audio accessories In addition during the research it was found that there is no functionally for 10S apps to transfer or receive data and files via Bluetooth The Arduino BT is not an Apple approved Bluetooth device and the app requires data transfer so it was concluded that Apple s native Bluetooth stack is not useful to successfu
20. s her workout type from the following 3 categories Cardio Fat burning or Cross training If the user does not choose the workout the default workout type is set to Cardio The level selection is used to determine the user preferred easiness of the workout This selection and the user s age determine the user s target BPM for the workout using the formula Target BPM 220 Age Level Equation 1 A level of Easy Medium and Hard is set to 50 35 and 15 respectively For example if a user s age is 20 and chooses a level of Hard level workout Then the music selection algorithm will choose songs with BPM closest to 185 BPM beatRunner ECE4007L05 11 stl AT amp T 7 42 PM 8595 More ong Done Add All Songs Broken Record On A Mission Katy B 9 Chinnadho Brundavanam Brundavanama 2010 Savithri B Vas Eyi Raja Brundavanam Brundavanama 2010 Shankar Maha Resting HR Get HR ghostsnstuff BeatRunner 9 oe BP co near On A Mission Katy B Hard To Get On A Mission Katy B 9 Ha Better Faster Stro Daft Punk Figure 3 Setting Screen Before the user begins the workout he she must update the Settings Screen shown in Figure 3 Next the user may select a customized play list from his her iPod music folder or play all the songs on his her iPod This screen contains user defined variables such as weight age and resting heart rate which are required
21. t of song s the algorithm extracts each song s BPM and compares the BPM with the user s target BPM If the song s BPM is within 20 range of the target BPM the song is selected to play to encourage to the user to run at the BPM s pace Otherwise the range is incremented by 5 until a song is found Using the algorithm the music player will choose songs that are closest the user s target BPM 2 3 Instantaneous Workout Data and Workout Summary The final product provides the user instantaneous workout data Elapsed time e Distance ran Current heart rate Target heart rate e Calories burned The initial prototype consisted of a Polar WL HRM and an iOS mobile device The final prototype has been altered due to problems encountered during the design with Bluetooth and music manipulation Table 3 depicts the information about the planned prototype and the actual prototype built beatRunner ECE4007L05 7 Table 3 Planned vs Actual Prototype Parts Planned Parts Actual Parts Polar WearLink Transmitter Bluetooth heart rate monitor Polar WL HRM Polar T31 HRM iOS mobile device iOS mobile device MacBook Pro laptop Heart Rate Monitor Interface USB cable 3 TECHNICAL SPECIFICATIONS 3 1 Audio Specifications Table 4 lists the audio specifications for the BeatRunner app The audio sampling frequency was set to 44 1 kHz which the industry standard for audio is encoding
22. t s information by date to analyze and compare his her workout performance User friendly App The beatRunner app provides easy navigation features minimizes user error and provides customization ability to users Easy navigability between tabbed windows in the app is accomplished using navigation keys beatRunner ECE4007L05 1 1 2 Motivation The beatRunner app is a new standalone design and is not based on a previous project Similar to other apps the beatRunner app serves as a workout organizational tool that allows the users to retrieve workout history to evaluate their performance over time Unlike these apps the beatRunner app uses a music selection algorithm to encourage the user to achieve his her target heart rate The target user for the beatRunner app is an iOS mobile user who Owns a Polar Coded T31 heart rate monitor Polar T31 HRM e Uses music as a motivator to workout e Needs a workout organization tool PROJECT DESCRIPTION AND GOALS The beatRunner app serves as a workout tracking and motivating tool for users Table 1 below contains the list of planned and actual features Table 1 Planned Features vs Actual Features Planned Features Actual Features Portable workout tool Non portable workout tool HRM data transmission via Bluetooth HRM data transmission via USB and Internet Music Manipulation e Speeds up and slows down songs Music Manipulation e Uses song selection
23. uilding The final product s main features were illustrated during the presentation such as updating the user s heart rate to the iOS device choosing songs according to the the user s target BPM and saving the user s workout results in the iOS device beatRunner ECE4007L05 iii 1 INTRODUCTION The design team spent 184 40 of funding to design the beatRunner app The beatRunner app is a workout motivational workout app that serves as an organizational tool for users The beatRunner app is compatible with iOS based mobile devices and provides three workout options for the user 1 1 Objective Motivational App The main objective was to create a motivational app that will encourage users to reach their target heart rates during their workouts The beatRunner app was originally intended to change the tempo of the music in the user s iPod playlist in order to motivate the runner to reach his her target heart rate Although the music manipulation algorithm was designed it was concluded that it was too slow for real time use as the iOS mobile device took 40 seconds to analyze and change the tempo of a particular song Performance Viewer and Workout Organizer App All workouts saved and completed using the beatRunner app are available for the user to view in his her iOS device Workout statistics such as workout type time distance calories burned and target BPM during a particular workout are saved The user may retrieve each workou
24. w Heart rate data ECG Signal Since the use of Bluetooth was unsuccessful in transmitting data to the 1OS device the final product uses the Internet to transmit heart rate data to the iPhone Figure 1 depicts the data flow of the final design The user s ECG signal is transmitted from Polar T31 HRM and received by the HRMI via a magnetic field Then the readable heart rate data is transferred to a PC via USB Then an executable that using the C programming language receives and verifies the data from the PC s USB port and posts the data to a PHP script stored on the web server The beatRunner app then reads the data from the web page and displays it on the 1OS device 2 2 Music Manipulation Feature Tempo Changing Algorithm The original music manipulation feature consisted of two components as shown in Table 1 The tempo changing feature was designed and tested to slow down and speed up songs The Dirac beatRunner ECE4007L05 5 library for iOS was used to control the tempo of a song while preserving the pitch However each song consumed 40 seconds of processing time to change the tempo As a result it was determined that the music manipulation algorithm was too slow to implement in the beatRunner app where the song must be played instantly when picked Alternative Changing Playback rate An alternative to changing the tempo while preserving the pitch is to change the playback rate by altering both the pitch and the tempo An Appl
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