QUANTATIVE EVALUATION OF THE EFFICIENCY OF FACIAL BIO-POTENTIAL SIGNALS BASED ON FOREHEAD THREE-CHANNEL ELECTRODE PLACEMENT FOR FACIAL GESTURE RECOGNITION APPLICABLE IN A HUMAN-MACHINE INTERFACE

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

REZAZADEH IMAN MOHAMMAD; FIROOZABADI SEYED MOHAMMAD; HU HUOSHENG; HASHEMI GOLPAYEGANI MOHAMMAD REZA

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: IRANIAN JOURNAL OF MEDICAL PHYSICS Year:2010 | Volume:7 | Issue:2 (27) Page(s): 65-79

Download Full-Text

Persian Verion

View:

990

Download:

Cites:

Information Journal Paper

Title

QUANTATIVE EVALUATION OF THE EFFICIENCY OF FACIAL BIO-POTENTIAL SIGNALS BASED ON FOREHEAD THREE-CHANNEL ELECTRODE PLACEMENT FOR FACIAL GESTURE RECOGNITION APPLICABLE IN A HUMAN-MACHINE INTERFACE

Author(s)

REZAZADEH IMAN MOHAMMAD | FIROOZABADI SEYED MOHAMMAD | HU HUOSHENG | HASHEMI GOLPAYEGANI MOHAMMAD REZA | Issue Writer Certificate

Keywords

ELECTRODES GEOMETRICAL POSITIONQ3

FACIAL BIOELECTRIC SIGNALSQ3

FACIAL GESTURESQ3

SUBTRACTIVE FUZZY C-MEANSQ3

Abstract

Introduction: Today, facial bio-potential signals are employed in many human-machine interface applications for enhancing and empowering the rehabilitation process. The main point to achieve that goal is to record appropriate bioelectric signals from the human face by placing and configuring electrodes over it in the right way. In this paper, heuristic geometrical position and configuration of the electrodes has been proposed for improving the quality of the acquired signals and consequently enhancing the performance of the facial gesture classifier.Materials and Methods: Investigation and evaluation of the electrodes' proper geometrical position and configuration can be performed using two methods: clinical and modeling. In the clinical method, the electrodes are placed in predefined positions and the elicited signals from them are then processed. The performance of the method is evaluated based on the results obtained. On the other hand, in the modeling approach, the quality of the recorded signals and their information content are evaluated only by modeling and simulation. In this paper, both methods have been utilized together, First, suitable electrode positions and configuration were proposed and evaluated by modeling and simulation. Then, the experiment was performed with a predefined protocol on 7 healthy subjects to validate the simulation results. Here, the recorded signals were passed through parallel butterworth filter banks to obtain facial EMG, EOG and EEG signals and the RMS features of each 256 msec time slot were extracted. By using the power of Subtractive Fuzzy C-Mean (SFCM), 8 different FACIAL GESTURES (including smiling, frowning, pulling up left and right lip comers, left/right/up and down movements of the eyes) were discriminated.Results: According to the three-channel electrode configuration derived from modeling of the dipoles effects on the surface electrodes and by employing the SFCM classifier, an average 94.5% discrimination ratio was obtained. The results can validate our hypothesis and the simulation results too.Discussion and Conclusion: Based on the obtained results, it is clear that our proposed electrode configuration and placement is an efficient method which can be used for further applications such as designing and implementing a robust human-machine interface.

Cites

No record.

References

No record.

Cite

APA: Copy

REZAZADEH, IMAN MOHAMMAD, FIROOZABADI, SEYED MOHAMMAD, HU, HUOSHENG, & HASHEMI GOLPAYEGANI, MOHAMMAD REZA. (2010). QUANTATIVE EVALUATION OF THE EFFICIENCY OF FACIAL BIO-POTENTIAL SIGNALS BASED ON FOREHEAD THREE-CHANNEL ELECTRODE PLACEMENT FOR FACIAL GESTURE RECOGNITION APPLICABLE IN A HUMAN-MACHINE INTERFACE. IRANIAN JOURNAL OF MEDICAL PHYSICS, 7(2 (27)), 65-79. SID. https://sid.ir/paper/96921/en

Vancouver: Copy

REZAZADEH IMAN MOHAMMAD, FIROOZABADI SEYED MOHAMMAD, HU HUOSHENG, HASHEMI GOLPAYEGANI MOHAMMAD REZA. QUANTATIVE EVALUATION OF THE EFFICIENCY OF FACIAL BIO-POTENTIAL SIGNALS BASED ON FOREHEAD THREE-CHANNEL ELECTRODE PLACEMENT FOR FACIAL GESTURE RECOGNITION APPLICABLE IN A HUMAN-MACHINE INTERFACE. IRANIAN JOURNAL OF MEDICAL PHYSICS[Internet]. 2010;7(2 (27)):65-79. Available from: https://sid.ir/paper/96921/en

IEEE: Copy

IMAN MOHAMMAD REZAZADEH, SEYED MOHAMMAD FIROOZABADI, HUOSHENG HU, and MOHAMMAD REZA HASHEMI GOLPAYEGANI, “QUANTATIVE EVALUATION OF THE EFFICIENCY OF FACIAL BIO-POTENTIAL SIGNALS BASED ON FOREHEAD THREE-CHANNEL ELECTRODE PLACEMENT FOR FACIAL GESTURE RECOGNITION APPLICABLE IN A HUMAN-MACHINE INTERFACE,” IRANIAN JOURNAL OF MEDICAL PHYSICS, vol. 7, no. 2 (27), pp. 65–79, 2010, [Online]. Available: https://sid.ir/paper/96921/en

Related Journal Papers