An automatic and adaptive light control system by integrating wireless sensors and brain-computer interface

Many people today spend much time on using computers and mobile phones. Without proper lighting, such behavior may hurt their eyesight. There are several studies using sensors for light control, but they require users to give desired illumination. However, users may have no idea what values of illumination they need for reading. It motivates us to propose an automatic and adaptive light control (A2LC) system to intelligently adjust lamplight based on the user's physiological state. A2LC analyzes the user's brain waves and blink intensity via the brain-computer interface (BCI). It then adjusts the lamplight's illumination to help the user focus attention. A prototype is developed to demonstrate the feasibility of A2LC. Through experiments on the prototype, we show that people can improve their attention on reading with the help of A2LC.

[1]  Ngoc-Tu Nguyen,et al.  On maximizing the lifetime for data aggregation in wireless sensor networks using virtual data aggregation trees , 2016, Comput. Networks.

[2]  Yu-Chee Tseng,et al.  Efficient Placement and Dispatch of Sensors in a Wireless Sensor Network , 2008, IEEE Transactions on Mobile Computing.

[3]  N. S. Hoang,et al.  A Low-Cost , 1997 .

[4]  Ying-Wen Bai,et al.  Automatic room light intensity detection and control using a microprocessor and light sensors , 2008, 2008 IEEE International Symposium on Consumer Electronics.

[5]  Yu-Chee Tseng,et al.  Multiresolution Spatial and Temporal Coding in a Wireless Sensor Network for Long-Term Monitoring Applications , 2009, IEEE Transactions on Computers.

[6]  Sherif M. A. Matta,et al.  An intelligent light control system for power saving , 2010, IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society.

[7]  Andreas Krause,et al.  Intelligent light control using sensor networks , 2005, SenSys '05.

[8]  C. Blehm,et al.  Computer vision syndrome: a review. , 2005, Survey of ophthalmology.

[9]  You-Chiun Wang,et al.  3S-cart: A Lightweight, Interactive Sensor-Based Cart for Smart Shopping in Supermarkets , 2016, IEEE Sensors Journal.

[10]  Yu-Chee Tseng,et al.  Autonomous Light Control by Wireless Sensor and Actuator Networks , 2010, IEEE Sensors Journal.

[11]  Ngoc-Tu Nguyen,et al.  A Maximum-Weight-Independent-Set-Based Algorithm for Reader-Coverage Collision Avoidance Arrangement in RFID Networks , 2016, IEEE Sensors Journal.

[12]  Lun-Wu Yeh,et al.  iPower: an energy conservation system for intelligent buildings by wireless sensor networks , 2009, Int. J. Sens. Networks.

[13]  Yu-Chee Tseng,et al.  A WSN-Based Intelligent Light Control System Considering User Activities and Profiles , 2008, IEEE Sensors Journal.

[14]  Michele Magno,et al.  A Low Cost, Highly Scalable Wireless Sensor Network Solution to Achieve Smart LED Light Control for Green Buildings , 2015, IEEE Sensors Journal.

[15]  J. Katona,et al.  Evaluation of the NeuroSky MindFlex EEG headset brain waves data , 2014, 2014 IEEE 12th International Symposium on Applied Machine Intelligence and Informatics (SAMI).

[16]  You-Chiun Wang Mobile Sensor Networks: System Hardware and Dispatch Software , 2014, CSUR.