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In this paper, we present a system to recognize text in traffic signs, along with its context based recognition result corrections that we developed. This system detects text in traffic signs region using contour detection and using KNN Classifier to recognize letters in it. The result of the recognitions that may contain errors will be corrected using Forward Reverse Dictionary that has Contextual...
In this paper, we present a system to recognize text in traffic signs, along with its context based recognition result corrections that we developed. This system detects text in traffic signs region using contour detection and using KNN Classifier to recognize letters in it. The result of the recognitions that may contain errors will be corrected using Forward Reverse Dictionary that has Contextual...
The whole dance of Likok Pulo are modeled by hidden Markov model. Dance gestures are cast as hidden discrete states and phrase as a sequence of gestures. For robustness under noisy input of Kinect sensor, an angular representation of the skeleton is designed. A pose of dance is defined by this angular skeleton representation which has been quantified based on range of movement. One unique gesture...
This study aims to develop a system to detect traffic conditions by using computer vision. The system detects the presence of cars, motorcycles and pedestrians in the traffic; and also calculates the detected objects. The system detects the objects by using feature extraction method that is Histogram Oriented Gradient (HOG) and using linear Support Vector Machine (SVM) classifier. The system calculates...
This paper describes utilization of surface electromyography (sEMG) identification for driving robotic hand. Therefore, this implementation will give other alternatives to the stroke survivors or paralysis patients in order to help their activities. This system detecs the movement of two fingers (thumb and index finger) by using threshold as pattern recognition algorithm. This pattern recognition...
The whole dance of Likok Pulo are modeled by hidden markov model. Dance gestures are cast as hidden discrete states and phrase as a sequence of gestures. For robustness under noisy input of Kinect sensor, an angular representation of the skeleton is designed. A pose of dance is defined by this angular skeleton representation which has been quantified based on range of movement. One unique gesture...
This paper describes the experiment of mu-rhythm application using BCI2000 and Emotiv. Experiment uses 1-D cursor task application as biofeedback. Autoregressive (AR) and Linier Classifier are used as pattern recognition algorithm in the system. In order to test the application, experiment uses 3 subjects for testing. As result, subjects can move the ball to the target with average accuracy about...
This paper presents a model for human dance motions based on hidden markov model. The whole dance is defined as sequences of several finite distinct gestures. Dance gestures are cast as hidden discrete states and phrase of dance as a sequence of gestures. In order to map the skeleton motion data to a smaller set of features, an angular skeleton representation of the human pose is also designed, for...
The sub system for EEG based brain computer interface system are feature extraction and classification. Translation from brain signal that contain a human intention into computer's command or message should be accomplished with good feature extraction nor classification. One of the methods for analyzing brain signal in feature extraction process is using band power measurement from few or many EEG...
This paper describes signal processing of surface electromyography (sEMG) for finger movement detection. Stoke survivors could use this application to retrain or helping them in their activities. This assistive technology will help them in order to improve the functional capabilities. The signal processing in this experiment is using 256Hz sampled data of sEMG signal. Three fingers of right hand is...
In order to fulfill some tasks to reach a certain common goal, agents need to make sequence of decisions they have to perform as agroup. The decision is taken based on a selection mechanism of available actions. Choosing arbitrary action will lead to time and energy waste, since not all actions are even optimum. Agents need to decide not only which individual action that will lead to optimum performance,...
This paper describes the decision making process of a robot soccer agent based on the OODA Loop. In this game, an agent that is considered as a player in the field has to decide actions to perform based on its environment. The agent is able to observe the change in the environment using its sensors. Based on this sensory information, a decision for actions has to be done fast and yet accurate. Therefore,...
Under unconsolidated resources, cloud computing providers have to allocate some resources to fullfill client request based on the on-demand mode. Using the applications profile, Infrastructure-as-a-Service model can be developed. Basically, Infrastructure-as-a-Service model provides resources in the form of computation power (CPU-hours unit), storage (gigabytes unit), network bandwidth (Internet data...
This paper presents signal processing of single channel surface electromyography (sEMG) on bicep brachii and its alternative application on assistive technology. Mean Absolute Value (MAV) method is used to estimate the average of muscle's force which correlates with its sEMG voltage amplitude. As a result, this estimating value controls box in virtual world as biofeedback in three classes; rest condition,...
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