| Autor: |
Ullah M; School of Mechanical Engineering and Electronic Information, China University of Geosciences, Wuhan 430074, China., Li X; School of Mechanical Engineering and Electronic Information, China University of Geosciences, Wuhan 430074, China., Hassan MA; Department of Information Engineering and Computer Science, University of Trento, 38122 Trento, Italy., Ullah F; School of Automation, China University of Geosciences, Wuhan 430074, China., Muhammad Y; School of Computer Science and Engineering, Beihang University, Beijing 100191, China., Granelli F; Department of Information Engineering and Computer Science, University of Trento, 38122 Trento, Italy., Vilcekova L; Information Systems Department, Faculty of Management Comenius University in Bratislava, Odboj'arov 10, 82005 Bratislava, Slovakia., Sadad T; Department of Computer Science, University of Engineering and Technology, Mardan 23200, Pakistan. |
| Abstrakt: |
Modern technologies such as the Internet of Things (IoT) and physical systems used as navigation systems play an important role in locating a specific location in an unfamiliar environment. Due to recent technological developments, users can now incorporate these systems into mobile devices, which has a positive impact on the acceptance of navigational systems and the number of users who use them. The system that is used to find a specific location within a building is known as an indoor navigation system. In this study, we present a novel approach to adaptable and changeable multistory navigation systems that can be implemented in different environments such as libraries, grocery stores, shopping malls, and official buildings using facial and speech recognition with the help of voice broadcasting. We chose a library building for the experiment to help registered users find a specific book on different building floors. In the proposed system, to help the users, robots are placed on each floor of the building, communicating with each other, and with the person who needs navigational help. The proposed system uses an Android platform that consists of two separate applications: one for administration to add or remove settings and data, which in turn builds an environment map, while the second application is deployed on robots that interact with the users. The developed system was tested using two methods, namely system evaluation, and user evaluation. The evaluation of the system is based on the results of voice and face recognition by the user, and the model's performance relies on accuracy values obtained by testing out various values for the neural network parameters. The evaluation method adopted by the proposed system achieved an accuracy of 97.92% and 97.88% for both of the tasks. The user evaluation method using the developed Android applications was tested on multi-story libraries, and the results were obtained by gathering responses from users who interacted with the applications for navigation, such as to find a specific book. Almost all the users find it useful to have robots placed on each floor of the building for giving specific directions with automatic recognition and recall of what a person is searching for. The evaluation results show that the proposed system can be implemented in different environments, which shows its effectiveness. |
