This system counts numbers of travellers through cameras that are settled at an overhead position. The identified head checks are refreshed to the server intermittently. The framework consolidates worldwide situating framework information and standard time to build up the quantity of travellers at each transport stop at various timeframes and ascertains the quantity of travellers to give business-related data. The goal of this paper is to build up an ideal transport task technique. An android application that helps the resident to track a transport and can check the quantity of travellers inside the transport. A red, green and yellow sign is to demonstrate the present status of the transport that helps the travelers to choose in which transport to get into. We have broke down the crowed in the transports in a specific transport course. This examination result helps the administration to move the transports starting with one course then onto the next.
Negative emotional regulation is a defining element of psychological disorders. Our goal was to create a machinelearning model to classify psychological disorders based on negative emotions. EEG brainwave dataset displaying positive, negative, and neutral emotions. However, negative emotions are responsible for psychological health. In this paper, research focused solely on negative emotional state characteristics for which the divide-and-conquer approach has been applied to the feature extraction process. Features are grouped into four equal subsets and feature selection has been done for each subset by feature ranking approach based on their feature importance determined by the Random Forest-Recursive Feature Elimination with Cross-validation (RF-RFECV) method. After feature ranking, the fusion of the feature subset is employed to obtain a new potential dataset. 10-fold cross-validation is performed with a grid search created using a set of predetermined model parameters that are important to achieving the greatest possible accuracy. Experimental results demonstrated that the proposed model has achieved 97.71% accuracy in predicting psychological disorders.
This work presents the new cubic trigonometric Bézier-type functions with shape parameter. Basis functions and the curve satisfy all properties of classical Bézier curve-like partition of unity, symmetric property, linear independent, geometric invariance, and convex hull property and have been proved. The C 3 and G 3 continuity conditions between two curve segments have also been achieved. To check the applicability of proposed functions, different types of open and closed curves have been constructed. The effect of shape parameter and control points has been observed. It is observed that, by decreasing the value of shape parameter, the curve moves toward the control polygon and vice versa. The CT-Bézier curve is closer to the cubic Bézier curve for a fixed value of shape parameter. The proposed CT-Bézier curve can be used to represent ellipse. Using proposed basis functions, we have constructed the spiral segment which is very useful to construct fair curves and desirable to design trajectories of mobile robots, highway, and railway routes’ designing.
With fresh development in the area of artificial intelligence and machine learning, the analysis of human physiological and psychological behavior has received greater attention around the world. In this paper, we have provided a detailed survey of the approaches used for human behavior detection considering different modalities with physiological behavior, psychological behavior, and emotion detection with the help of sensors EEG, ECG, GSR, and temperature. At long last, it finishes up with the results of this study and represents the thoughts for future exploration in the zone of human behavior understanding. A rundown and comparison among the ongoing investigations is done that uncovers the currently existing issues. In addition, future work has been examined.
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