Abstract
After World War II, engineers and artists became interested in the integration of technology and arts. Since then, computer arts have represented this kind of art work and their interactive installations have been exhibited around the world. With the developing of computer arts, the variety of art works has been growing wider each day. Thus, characteristic classifications should be adopted. Three main characteristics, logic implementations, randomness, and systematization, can be found in computer arts. In this thesis, we have developed electronic systems for a digital interactive art installation that shows a motion-to-motion art work and a software monitor. The art work receives stimulations from visitors and gives a series of movements as a feedback. The software monitor is constructed in the iPad or the cellphone to wirelessly observe the stimulation signals. The art installation is mainly composed of wireless acceleration sensors, Bluetooth modules, Arduino boards, DC motors, aluminum alloys, beach balls, LED stripes, and color fabrics. Each wireless sensor, operating at 3.3 volts, consists of a commercial Bluetooth module, a motion tracking integrated circuit, and a field-programmable gate array (FPGA) for controls between these two elements. Upon receiving stimulations, the sensors set off a series of movements on the motors which are controlled by Arduino boards as motion feedbacks. The amplitude of accelerations defines the active durations of the motors. The determination of the durations is processed in the Arduino board with a digital high-pass filter for eliminating the offset. Besides, different delays for different motors can be set to exhibit further visual effects. To attract more attention from visitors, LED stripes with gradual changes of brightness are adopted by the pulse-width modulation (PWM) which is also controlled in the Arduino board. This work was exhibited in National Living Arts Center in HsinChu for a month, which appeared a lot more contemporary when it is compared to other traditional works. The software monitor is developed with built-in functions provided by the Android system that can observe not only digital values but the waveforms of the raw stimulation signals in real time. This monitor has two main functions. The first one is to check whether the wireless sensors carry large offsets after lots of stimulations from visitors. The second one is to check whether adjusting the filter parameters is required.