Chan Wei-How
UTAR Complex, Jalan Genting Kelang, 53300 Setapak, Kuala Lumpur. ronaldcwh@1utar.my Abstract
In this paper, I am going to discuss about the current trend of technologies used and the research direction, as well as the design safety and impact for the Human-Machine Interface (HMI) on 4 different topics which are touch based, optic based, acoustic based technology and bionic based. There are several design and invention of HMI that being used for our daily life as well as in industrial production. For example, when driving an automation, the driver control the vehicle direction by using the steering wheel, and using brake pedal, gearstick and accelerator pedal to control the speed of the vehicle. The direction is control by looking through the windshield and the speedometer feedback the speed reading to the driver. As we can see that the user interface of the automobile is composed of the instruments that the driver can use to accomplish the task of driving and maintaining the automobile.
Keywords: Human-Machine Interface (HMI).
1. Introduction
HMI is a medium for communication and exchange of information between human and electromechanical systems or computer. It allows the user to complete settings through touchable images or keys on the user friendly window. Tools used for incorporating the human factors in the HMI design are developed based on knowledge of computer science. This interaction objective is to control the machine on the user’s end, and feedback from the machine which aids the operator in making operational decisions. The user interface includes hardware and software components which composed of input that allowing the users to manipulate the system and output that allowing the system to indicate the effects of the user’s manipulation.
2. Current Trend and Research
2.1. Touch Based Technology for
References: [1] H. Huang and L.H, Chen, Enhancing Human-Computer Interaction and Feedback in Touchscreen Icon , World Academy of Science, Engineering and Technology. 41 (2010) [2] R [3] M.R. Bhalla and A.V. Bhalla, Comparative Study of Various Touchscreen Technologies, International Journal of Computer Application. 6, 8 (2010) [4] P.K [5] A. Cassinelli, S. Perrin and M. Ishikawa, Smart Laser-Scanner for 3D Human-Machine Interface, University of Tokyo. (2005) [6] M.A Bhuiyan, V.Ampornaramveth, S [7] W.G. Che, C.L. Huang, and W.L. Hwang, Automatic EyeWinks Interpretation System for Human-Machine Interface, EURASIP Journal on Image and Video Processing. 9 (2007) [8] C.S [9] W. Zeng, Microsoft Kinect Sensor and Its Effect, IEEE Computer Society. (2012) [10] S [12] M. A. Oskoei and H. Hu, Application of Feature Tracking in a Vision Based Human Machine Interface for XBOX, Proceedings of the (2009) IEEE International Conference on Robotics and Biomimetics December 19 -23, 2009, Guilin, China [13] S [15] M.A. Anusuya and S.K. Katti, Speech Recognition by Machine: A Review, (IJCSIS) International Journal of Computer Science and Information Security. 6, 3 (2009) [16] I [17] S. K. Gaikwad, B. W. Gawali, and P. Yannawar, A Review on Speech Recognition Technique, International Journal of Computer Applications. 10, 3 (2010) [18] S [19] J. N. Pires, International Journal of Electronics, Communication & Soft Computing Science and Engineering, International Journal of Electronics, Communication & Soft Computing Science and Engineering. 32, 6 (2005) [20] W [26] J. Gmerz-Gil, I. San-Jose-Gonzalez, L. F. Nicolas-Alonso, and S. Alonso-Garcia, Steering a Tractor by Means of an EMG-Based Human-Machine Interface, J. Sensors. (2011) [27] A [28] S. Langlois, B. L. Nindre, C. Peteul, and N. Misdariis, Man-Machine Interfaces in Cars: Technological Impact of Sound Design, Renault, Research Department & Ircam, Sound Design team. (2005) [29] D