Abstract
Food intake gesture technology is one of a new strategy for obesity people managing their health care while saving their time and money. This approach involves combining face and hand joint point for monitoring food intake of a user using Kinect Xbox One camera sensor. Rather than counting calories, scientists at Brigham Young University found dieters who eager to reduce their number of daily bites by 20 to 30 percent lost around two kilograms a month, regardless of what they ate [1]. Research studies showed that most of the methods used to count bite are worn type devices which has high false alarm ratio. Today trend is going toward the non-wearable device. This sensor is used to capture skeletal data of user while eating and train the data to capture the motion and movement while eating. There are specific joint to be capture such as Jaw face point and wrist roll joint. Overall accuracy is around 94%. Basically, this increase in the overall recognition rate of this system.
Highlights
Unhealthy eating habits have come through to the obesity outbreak in Malaysia
This paper describes a method for measuring bite count of food intake using a Kinect camera that tracking users with Kinect skeletal hand tracking of skeleton and face gesture expression
The system consists of a simple algorithm that can tell user and alert of how much food intake taken by detecting hand wrist roll rotation and face jaw movement while eating
Summary
Unhealthy eating habits have come through to the obesity outbreak in Malaysia. You can uphold a fine weight and avoid certain health problems by establishing healthy eating habits. Counting and try to lower calories intake can be a useful approach to weight loss. There are other approaches method to weight loss for those who don‟t want to count calories such as bite count. This paper describes a method for measuring bite count of food intake using a Kinect camera that tracking users with Kinect skeletal hand tracking of skeleton and face gesture expression. The system consists of a simple algorithm that can tell user and alert of how much food intake taken by detecting hand wrist roll rotation and face jaw movement while eating. The system can help people create lifelong normal eating patterns prevent obesity from increase quickly
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