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dc.contributor.author | Rizvi, Eraj | |
dc.contributor.author | Talhah, Muhammad | |
dc.contributor.author | Rasheed, Beenish | |
dc.date.accessioned | 2021-12-09T05:42:22Z | |
dc.date.available | 2021-12-09T05:42:22Z | |
dc.date.issued | 2020 | |
dc.identifier.uri | http://hdl.handle.net/123456789/11341 | |
dc.description | Supervised by Dr. Rizwan Iqbal | en_US |
dc.description.abstract | Fitness Recommendation Mirror (FRM) was designed & developed for physically inactive people with obesity & sedentary lifestyle to motivate them to stay fit & maintain a healthy lifestyle. It’s a combination of the solutions to isolated problems integrated into one system which guides you to exercise properly by motion detection & error correction, applauds on your progress, facilitates professional training & exercises. Every level user is encouraged to use. We propose to build ibis smart piece ofhardware by keeping in mind all the requirements and drawbacks of existing system. This interactive mirror recognizes different users through their faces through face recognition, giving them access to Google Voice Assistant. For face recognition, faces are trained Sc saved in the database. This mirror recommends you how to improve your fitness and exercise skills. Motion and error detection helps a userto know where he is going wrong and correct his postures & body movements through our error detection module. FRM also helps increase in a country’s economic growth, its production & development as it’s well said a healthy society is a productive society. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Bahria University Karachi Campus | en_US |
dc.relation.ispartofseries | BCE;MFN BS 45 | |
dc.subject | Face Detection, Face Recognition, Voice Assistant, Smart Mirror features, Motion Detection, Error detection | en_US |
dc.title | FITNESS RECOMMENDATION MIRROR | en_US |
dc.type | Thesis | en_US |