Sapto Condro loves Science and Technology

Catatan seorang pelajar yang tertidur…

Bandung Brain-Computer Interface on Indonesia Morning Show, Net TV, June 2014

Bandung Brain-Computer Interface (BCI) Bionic Arm (wp,blog) is on Indonesia Morning Show, Net TV. There we can see the demo:

  • Putting the Emotiv EPOC headset.
  • Calibration with ball and box from the laptop.
  • Single-trial Motor imagery BCI  to control the robotic/bionic arm

From the video, I can see that BCI2000 is used to connect the Emotiv EPOC system and the bionic arm system. One student said that the price is less than 10 millions rupiahs. This means that Emotiv EPOC Research SDK (with a price of 750$) is used. Since August 2014, research SDK is not sold anymore and there is new Emotiv EPOC Education with a price of 1799$, now. It is unknown if the dll files still compatible with BCI2000 or not. Well, I had problem connecting Emotiv EPOC Education with OpenVibe.

The classifier are not explained nor seen from the video. It would be too complicated for “non-scientific” news channels. The calibration takes about 1 minute, on the video. The calibration method is using a ball and a box. On the monitor, there is a ball and a box. The ball should be moved closer to the box, using imagination of motoric movement. In calibration, both the machine (as classifier) and the human (as user) will learn to perform the motor imagery task. Well, 1 minute is fast. It is unknown whether the user had trained backstage before performing on camera. Haha!

For real-time usage of BCI, single-trial motor imagery has to be used. In calibration, more-trial motor imagery has to used for calculating the parameters of the classifier. From the video, we can see that the bionic arm moves only when the user do mental task of motor imagery. So I think the classifier is good and the user is “BCI-literate”. When the user clapped her hand, the bionic arms didn’t move. So I think the classifier detects hand grasping or finger movement and neglects other hand movement. In my opinion, the user has trained backstage before she is on camera. She has known that she has to imagine grasping movement. The classifier parameters may have been saved before the show. That’s why she is doing calibration fast and she can easily move the bionic arm (without instruction from the experimenters).

From the video, there are 3 students (Electrical Engineering from ITB, Bandung, Indonesia). I think they have to separate tasks to do the projects. One should manage software and hardware to drive bionic arm. One should manage Emotiv EPOC connection with BCI2000. One should connect all the system to make sure that everything works. Also, one should design what kinds of classifier that works: linear discriminant analysis (LDA), common spatial pattern (CSP), or simple thresholding of ERP (event-related potential) or others. I think they use C++. From my experience with BCI2000, Microsoft Visual C++ has to be used. I haven’t tried the new BCI2000. Maybe it works with C++ in many other environments: Eclipse and Linux.

Well, I should go back to my real research, instead of blogging.

Bremen, 26 Agustus 2014

Darah Juang!

Brain Robot Research, a neuroscience blog

August 26, 2014 Posted by | Neuroscience | , , , , , , , | 2 Comments

Bandung Brain Computer Interface: Bionic Arm 2014

Previously, I have written about Bandung Brain Computer Interface (1,2,3) and the lack of research publication from Indonesia about BCI (wp, blog). Now, there are new youtube video from Ary Setijadi Prihatmanto, my former lecturer at the Electrical Engineering of Institut Teknologi Bandung (ITB). The video is about the research on bionic arm, controlled by Brain Computer Interface (BCI). The BCI Bionic Arm will be shown in the Electrical Engineering Day on June 2nd until 7th, 2014 at the Institut Teknologi Bandung (ITB).

From the video, I have found out that BCI2000 and Emotiv EPOC are used. Of course, MATLAB is also used. However, EEGLAB as a MATLAB toolbox for EEG analysis is not used. OpenVibe works only with Emotiv EPOC Research SDK. If other SDKs are used, for example Education SDK, then instead of OpenVibe, BCI2000 is the right framework to get EEG data from Emotiv.

Beside Electroencephalography (EEG), the video shows also Electromyography (EMG). Based on these signals, a bionic arm is controlled. The movement is hand opening and closing. From the video, there is an example of active motoric execution of a human participant. The subject wears Emotiv EPOC headset and move his hand actively. Emotiv EPOC sends the EEG signals via bluetooth to the computer and then a software decode these signals and transform them into commands for controlling the bionic arm.

I hope there will be other good news from Bandung BCI in the near future. Now, I am back to my real research, instead of blogging.

Bremen, 28 Mei 2014

Darah Juang!

Brain Robot Research, a neuroscience blog

May 28, 2014 Posted by | Neuroscience | , , , , , , , , | 2 Comments