Tracking and counting motion for monitoring food intake based on depth sensor

Kassim, Muhammad Fuad (2020) Tracking and counting motion for monitoring food intake based on depth sensor. Masters thesis, Universiti Tun Hussein Onn Malaysia.


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Obesity has been a serious health concern among people. Moreover, obesity continues to be a serious public health concern in Malaysia and continuing to rise. Nearly half of Malaysians are overweight. Most of the dietary approaches are not tracking and detecting the right calorie intake for weight loss, but currently used tools such as food diaries require users to manually record and track the food calories, making them difficult to be utilized for daily use. Therefore, this project developed a new tool that counts the food intake by monitoring eating motion movement of caloric intake to overcome health issues. The food intake counting method showed a good significance that can lead to a successful weight loss by simply monitoring the food intake taken during eating. The device used was Kinect Xbox One which used a depth camera to detect the motion of a person’s gesture and posture during food intake. Previous studies have shown that most of the methods used to count food intake device is worn device type. The recent trend is now going towards non-wearable devices due to the difficulty when wearing devices and it has high false alarm ratio. The proposed system gets data from the Kinect camera and monitors the gesture of the user while eating. Then, the gesture data is collected to be recognized and it will start counting the food intake taken by the user. The system recognizes the patterns of the food intake from the user by following the algorithm design in this thesis to analyze the gesture of the basic eating type and the system get an average accuracy of 96.2%. This system can help people who are trying to follow a proper way to avoid being overweight or having eating disorders by monitoring their meal intake and controlling their eating rate.

Item Type: Thesis (Masters)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800-8360 Electronics > TK7885-7895 Computer engineering. Computer hardware
Divisions: Faculty of Electrical and Electronic Engineering > Department of Electrical Engineering
Depositing User: Mrs. Sabarina Che Mat
Date Deposited: 21 Sep 2021 04:18
Last Modified: 21 Sep 2021 04:18

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