Implementation of a Smart TV System with Context Awareness

AUTHOR(S):

Yang-Keun Ahn, Kwang-Soon Choi, Young-Choong Park

TITLE

Implementation of a Smart TV System with Context Awareness

ABSTRACT

This thesis uses various types of recognition devices to research and suggest different methods of recognizing a person watching a TV. It suggests how the obtained data will be provided to the user and states how recognition devices were used to infer the situation of the data collected.

KEYWORDS

Face Detection, Face Direction, Skeleton Model, Posture Recognition

REFERENCES

[1] Eun-ju Kim, Seong-lyeol Song, Myung-won Kim "Convergence Technique for Personalized Recommendation in Smart TV Environment"

[2] Young-sul Lee, Gyeon-mo Yang, Seong-bae Cho, "Ontology-based Smart TV Environment Modeling for Situational Smart TV Service"

[3] Microsoft Corporation, "Human Interface Guidelines v1.8.0"

[4] Abhishek Kar, "Skeletal Tracking using Microsoft Kinect"

[5] Sait Celebi, Ali S.Aydin, Talha T.Temiz, Tarik Arici, "Gesture Recognition Using Skeleton Data with Weighted Dynamic Time Warping"

[6] Sun-young Cho, Hye-lan Byeon, Hee-kyung Lee, Ji-hun Cha, "Arm Gesture Recognition for Kinect Sensor Based Shooting Game"

[7] Luxand, "Luxand FaceSDK Documentation v5.0"

[8] Abu Sayeed Md. Sohail and Prabir Bhattacharya, "Detection of Facial Feature Points Using Anthropometric Face Model"

[9] Matthias Dantone, Juergen Gall, Gabriele Fanelli, Luc Van Gool, "Real-time Facial Feature Detection using Conditional Regresstion Forests"

[10] Woo-gi Lee, Jong-tae Baek, Hwa-gi Lee, Young-mo Lee, "Angular Feature Vector Based Face Recognition Model"

Cite this paper

Yang-Keun Ahn, Kwang-Soon Choi, Young-Choong Park. (2018) Implementation of a Smart TV System with Context Awareness. International Journal of Computers, 3, 33-37