Mobile cloud based food calorie measurement
Parisa Pouladzadeh, Pallavi Kuhad, Sri Vijay Bharat Peddi, Abdulsalam Yassine, Shervin Shirmohammadi · 2014
Mobile-based applications have become ubiquitous in many aspects of people's lives over the past few years. Harnessing the potential of this trend for healthcare purposes has become a focal point for researchers and industry, in particular designing applications that can be used by patients as part of their wellness, prevention, or treatment process. Along the way, mobile cloud computing (MCC) has been introduced to be a potential paradigm for mobile health services to overcome the interoperability issues across different information formats. In this paper, we propose a mobile cloud-based food calorie measurement system. Our system provides users with convenient and intelligent mechanisms that allow them to track their food intake and monitor their calorie count. The food recognition technique in our system uses cloud Support Vector Machine (SVM) training mechanism in a cloud computing environment with Map Reduce technique for distributed machine learning. The details of the system and its implementation results are recorded in this paper.