“3D printing is generally used for prototyping purposes; nevertheless, we want to make it more functional such as part of a smart system.”
Agung Shamsuddin Saragih, S.T., MS.Eng, PhD.
Agung Shamsuddin Saragih is a researcher in mechanical engineering at Universitas Indonesia. He received a bachelor’s in Engineering from Universitas Indonesia and a Master’s and Ph.D. in mechanical engineering from Yeungnam University – South Korea. His research interests include advanced manufacturing technology as well as automation.
To care for people with disabilities, Agung and the DTM FTUI team researched prosthetic hands. A prosthetic hand is usually moved and controlled with a stimulus of the muscles. However, in this study, the prosthetic hand utilized Electroencephalography (EEG) technology to receive a motion command under the user’s wishes through his brain waves. This EEG technology has several advantages. First, the user does not have to undergo surgery for his prosthetic hand, so it is easily installed or removed.
Moreover, the price is relatively affordable since the EEG sensor has been developed for entertainment, medical analysis, or focused learning measurement. Therefore, the user can move his fingers in several modes or forms using an algorithm to detect flickers from commercial EEG sensors. Meanwhile, he can achieve an entire, 100-percent movement and return it to the original condition of each mode or form by detecting the level of focus and relaxation.
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