Nowadays, there is a trend to use a wireless keyboard and mouse. Wireless UI technology is evolving greatly and many everyday objects are being transformed into UI so that it can be easier for us. In this paper, we propose a system that uses gloves to interact with the personal computer. In addition to the keyboard, a mouse interface is also included in the Glove. To verify that the proposal prototype is created. This suggests that when a person presses the switches with the fingertips of the mouse, character input can also be performed. Keywords: GLOVES, TOUCH SWITCHES, PIC MICROCONTROLLER, ZIGBEE, UART---------------- -------------------- ---------------------------*** -------------------- ------------------------------ ---------1. INTRODUCTIONThe keyboard and mouse now provide the means for virtually all input. Using options other than the mouse or keyboard, e.g. typing virtual objects, hand, head or body gestures, eye fixation tracking is becoming popular with the popularity of ubiquitous devices and ambient such as digital television and playback stations. We will see more old people and fewer young people, the result of a huge demographic shift. The elderly population will continue to grow significantly in the future. It is widely agreed that we need to address this problem with more research. Research work includes the use of fingertip switches and input as ASCII codes, as well as the correct finger assignment. We find such an application [1]. We also find another application that introduces a chord glove, offers a speed of 8.9 ± 1.4 wpm, and requires a hard surface and practice to use it [3]. In another application, a data glove is developed using sensor and generator coils to track...... middle of paper ...... input glove interface device", patent US 4,414,537, AT&T Bell Lab., Murray Hill, NJ, pages 213-245, November 2010.[18] JJ LaViola, “A Survey of Hand Posture and Gesture Recognition Techniques and Technologies,” Brown Univ., Providence, RI, Tech. Rep.CS-99-11, June 2009.[19]. TS Chou, A. Gadd, and D. Knott, “Eye-hand: a vision-based approach to data glove calibration,” in Proc. Human Interface Technology, pages. July 2-7, 2007.[20] H. Eglowstein, “Reach and Touch Your Data,” Byte, vol. 15, no. 7, pages. 283-290, July 1990.[21] DL Gardner, “The Powerful Glove,” Des. News, vol. 45, p. 63-68, December 1989.[22] M. Deller, A. Ebert, M. Bender, and H. Hagen, “Flexible gesture recognition for immersive virtual environments,” in Proc. Inf. Vis., 2006, pages. 563-568.[23] F. Hofmann and J. Henz, “The TU-Berlin SensorGlove,” Tech. Univ. Berlin, Berlin, Germany, Tech. Representative., 1995.