• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.9 no.5
• /
• pp.213-224
• /
• 2009

This paper presents a new algorithm for estimating a driver's physical condition using real-time vision system and performs experimentation for real facial image data. The system relies on a face recognition to robustly track the center points and sizes of person's two pupils, and two side edge points of the mouth. The face recognition constitutes the color statistics by YUV color space together with geometrical model of a typical face. The system can classify the rotation in all viewing directions, to detect eye/mouth occlusion, eye blinking and eye closure, and to recover the three dimensional gaze of the eyes. These are utilized to determine the carelessness and drowsiness of the driver. Finally, experimental results have demonstrated the validity and the applicability of the proposed method for the estimation of a driver's physical condition.

• Journal of Korean Home Economics Education Association
• /
• v.21 no.4
• /
• pp.19-33
• /
• 2009

The purpose of this study was to investigate fast food consumption, awareness of fast food and food habit of middle school students in Wonju area according to their intake frequency of fast foods. Subjects were categorized into 3 groups according to intake frequency of fast foods : frequent users($\geq$ 1 times/week, 29.5%) users(2~3 times/month, 50.7%), non-users($\leq$ 1 time/month, 19.8%). As for the purpose of eating fast food, many ate fast food between meals. The most favorite fast food was chicken regardless of intake frequency, followed by pizza, hamburger, the reason being that it tasted good. Regarding if there was any room for improvement, the largest number of the students asked for inexpensive price, irrespective of fast food intake frequency. Compared to users, non-users intake more diverse foods, vegetables, dairy products, fruits, protein foods and seaweed. Users or frequent users of fast food more felt drowsy, cold in the hand and foot, rough skin symptoms than non-users. In conclusion, frequent consumption of fast foods can lead unbalanced diet intakes for middle school students, and those who consumed fast foods frequently showed undesirable food habits in their daily meal.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.20 no.2
• /
• pp.157-163
• /
• 2020

Recently, fine dust has been known to cause cardiovascular diseases here, raising interest in ways to reduce emissions by efficiently using fuel from cars that cause air pollution. Accordingly, a driving assistance system was developed to save fuel by eco-driving and improve the driver's bad driving habits. The system was developed using raspberry pi, arduino and Android. Using RPM, speed, fuel injection information obtained from OBD-II, and gyro-sensor values, Fuel-Cut is induced to create an optimal inertial driving environment. It also provides various information system such as weather, driving environment, and preventing drowsy driving through GUI and voice recognition functions. It is possible to check driving records and vehicle fault information using Android application and has low overhead for message transmission using MQTT protocol optimized for IoT environment.