Smart Gym Health/Fitness System android Mobile Application
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International Journal of Computer Trends and Technology (IJCTT) |  |
| © 2019 by IJCTT Journal | ||
| Volume-67 Issue-11 |
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| Year of Publication : 2019 | ||
| Authors : Hafiza Maria Rafique, Maria Ilyas, Ms.AmnaNisar | ||
| DOI : 10.14445/22312803/IJCTT-V67I11P102 |
MLA Style:Hafiza Maria Rafique, Maria Ilyas, Ms.AmnaNisar "Smart Gym Health/Fitness System android Mobile Application," International Journal of Computer Trends and Technology 67.11 (2019):4-13.
APA Style Hafiza Maria Rafique, Maria Ilyas, Ms.AmnaNisar. Smart Gym Health/Fitness System android Mobile Application International Journal of Computer Trends and Technology, 67(11),4-13.
Abstract
The emerging popularity of so-called “Wellness Apps” (mobile applications designed to assist users in pursuing a healthy lifestyle by encouraging them to make positive lifestyle decisions) has presented an interesting challenge to mobile application developers. Our application incorporates step and sleep tracking algorithms. In addition, the application tracks the user’s mood throughout the day, and, using this data, the user can monitor the correlation between his or her exercise, sleep habits, and overall mood. In this project a Wellness App for the Android platform, SAM Fitness, is developed and tested to track these factors.
Reference
[1] apachefriends.org/download.html
[2] generic.wordpress.soton.ac.uk/spidersocial/2016/04/02/facerecognition/
[3] https://stripe.com/docs/custom-form
[4] https://pdfs.semanticscholar.org/a57d/8290752754bd44c07aa9 933d044c28a3488e.pdf
[5] http://smartgym.com/wp-content/uploads/2015/10/SGManualhalfpage. pdf
[6] kairos.com/face-recognition-api
[7] slideshare.net/Tuvshuud/smart-gym-system-documentation
[8] Slideshare.net/jagaarj/database-design-normalization
[9] twilio.com/docs/quickstart/php/sms/sending-via-rest
[10] yalantis.com/blog/health-fitness-apps-development-locationbased- activity-trackers-workout-apps-technology
Keywords
Wellness Apps, incorporates step, sleep tracking, user’s mood, exercise, SAM Fitness, track.