학술논문

Methodology to Control IoT Smart Devices Driven by Digital TV Video Scene
Document Type
Periodical
Source
IEEE Access Access, IEEE. 11:27806-27815 2023
Subject
Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Geoscience
Nuclear Engineering
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Internet of Things
Digital TV
Smart TV
Streaming media
Receivers
Protocols
Zigbee
digital TV
multidimensional theater
multimedia environments
SBTVD
ISDB-TB
data broadcast
WiFi
communication protocols
smart TV
Language
ISSN
2169-3536
Abstract
This paper presents a novel methodology to control Internet of Things (IoT) devices synchronized with digital TV (DTV) signal dynamic video flow. Through this approach, broadcasters can send commands to digital TV receivers and produce multiples physical effects on IoT devices paired with TV sets. Among IoT devices examples, are: smart lamps, robotic seats, smart watches, wearable devices, etc. Those devices will synchronously react with the video scene, according to the IoT command type received by TV set. With this methodology, broadcasters may multiplex multiple IoT commands and be able to produce several effects at same time, through different IoT devices, creating a home multi-dimensional environment. In case there is any command that does not correspond to any paired device on receiver side, or the command is corrupted, the same is simply discarded. The validation of this methodology is based on the development of a receiver embedded system to detect signalization of IoT commands, Data filtering and IoT device control through Smart TV. The IoT devices control is sync with video scene and is based at time stamps added to the DTV signal. Furthermore, to check transceiver channel behavior, a transport stream benchmark, composed by IoT commands data flow multiplexed with audio and video medias in multiple complexity levels, was generated. Lab experiments with transmission tests and IoT devices control results shown technical feasibility to use this methodology in a real digital TV environment. The main contribution of this methodology is to facilitate the creation and dissemination of multi-dimensional entertainment environments, on worldwide households, improving the Smart TV user experience.