Robot movement controller based on dynamic facial pattern recognition

Published on May 1, 2021in Indonesian Journal of Electrical Engineering and Computer Science
· DOI :10.11591/IJEECS.V22.I2.PP733-743
Deris Stiawan10
Estimated H-index: 10
(Sriwijaya University)
Sources
Abstract
In terms of movement, mobile robots are equipped with various navigation techniques. One of the navigation techniques used is facial pattern recognition. But Mobile robot hardware usually uses embedded platforms which have limited resources. In this study, a new navigation technique is proposed by combining a face detection system with a ram-based artificial neural network. This technique will divide the face detection area into five frame areas, namely top, bottom, right, left, and neutral. In this technique, the face detection area is divided into five frame areas, namely top, bottom, right, left, and neutral. The value of each detection area will be grouped into the ram discriminator. Then a training and testing process will be carried out to determine which detection value is closest to the true value, which value will be compared with the output value in the output pattern so that the winning discriminator is obtained which is used as the navigation value. In testing 63 face samples for the Upper and Lower frame areas, resulting in an accuracy rate of 95%, then for the Right and Left frame areas, the resulting accuracy rate is 93%. In the process of testing the ram-based neural network algorithm pattern, the efficiency of memory capacity in ram, the discriminator is 50%, assuming a 16-bit input pattern to 8 bits. While the execution time of the input vector until the winner of the class is under milliseconds (ms).
References6
Newest
#1Artur KaczmarczykH-Index: 1
#2Weronika ZatorskaH-Index: 1
The objective of image fusion is to combine information from multiple images of the same scene, where the image result of fusion is more suitable for human and machine perception. This process is usually time consuming on most standard computing platforms that can be used in autonomous and semi-autonomous platforms, such as an unmanned ground vehicle (UGV) and an unmanned aerial vehicle (UAV). This creates a conflict between satisfying the hardware requirements and the platform’s current demand....
Source
Oct 1, 2018 in ICEE (International Conference on Electrical Engineering)
#1Ahmad ZarkasiH-Index: 3
#2Siti NurmainiH-Index: 12
Last. Yesi Novaria KunangH-Index: 5
view all 7 authors...
Face recognition process can be used for individual}verification and identification. Generating an image that can be used for identification, manipulation, modeling, pattern recognition, and object search is the main thing on face area determination. The template matching method used the intercourse between the input image pattern and the referral face pattern along with its features. In this paper will be purposed about face detection use template matching method on movement face. The technique...
Source
#1Aryuanto SoetedjoH-Index: 10
This paper presents the fusion techniques for detecting and tracking the face. The proposed method combines the Viola-Jones method, the CamShift tracking, and the Kalman Filter tracking. The objective is to increase the face detection rate, while reduce the computation cost. The proposed method is implemented on a low cost embedded system based-on the Raspberry Pi module. The experimental results show that the average detection rate of 98.3% is achieved, and it is superior compared to the existi...
Source
#1Massimo De GregorioH-Index: 13
#2Maurizio GiordanoH-Index: 11
Last. Mariacarla StaffaH-Index: 13
view all 4 authors...
Object tracking is a challenging problem in many computer vision applications, which go from robotics to surveillance systems. When applied to real world conditions, tracking methods found in the literature compete in solving some inherent difficulties of object segmentation and movement prediction, such as camouflage, occlusions, dynamic background, brightness, color and shape changes. To address some of these issues, we propose a general framework for object tracking by exploiting well-known s...
Source
#1Chunhe Yu (SAU: Shenyang Aerospace University)H-Index: 2
#2Chong Xie (SAU: Shenyang Aerospace University)H-Index: 1
Last. Yanna Zhang (SAU: Shenyang Aerospace University)H-Index: 1
view all 3 authors...
To solve the problems of lean, occlusion, and unbalance exposure, a new strategy of facial expression recognition based on template matching is proposed in the paper. The strategy firstly obtains the characteristics of half-facial expressions by using Gabor wavelet, and then calculates the picture's Euclidean distance with the standard library; at last, classify expressions by using the method of K nearest neighbor. Experiments show that the strategy can improve the rate of facial expression rec...
Source
#1S. Charles Brubaker (Georgia Institute of Technology)H-Index: 6
#2Jianxin Wu (Georgia Institute of Technology)H-Index: 51
Last. James M. Rehg (Georgia Institute of Technology)H-Index: 77
view all 5 authors...
Cascades of boosted ensembles have become popular in the object detection community following their highly successful introduction in the face detector of Viola and Jones. Since then, researchers have sought to improve upon the original approach by incorporating new methods along a variety of axes (e.g. alternative boosting methods, feature sets, etc.). Nevertheless, key decisions about how many hypotheses to include in an ensemble and the appropriate balance of detection and false positive rate...
Source
Cited By1
Newest
Prosthetic devices are necessary to help amputees achieve their daily activity in the natural way possible. The prosthetic hand has controlled by type of signals such as electromyography (EMG) and mechanomyography (MMG). The MMG signals have represented mechanical signals that generate during muscle contraction. These signals can be detected by accelerometers or microphones and any kind of sensors that can detect muscle vibrations. The contribution of the current paper is classifying hand gestur...
Source
This website uses cookies.
We use cookies to improve your online experience. By continuing to use our website we assume you agree to the placement of these cookies.
To learn more, you can find in our Privacy Policy.