Using Mobile Sensing Technology for Capturing People Mobility Information

Abstract

The detection and analysis of human crowds have been widely used from urban design and traffic management to disaster evacuation and mobility prediction. Currently, several common methods of crowd flow detection have different performances in terms of accuracy, cost and scope of application. One of the main reasons for the difference is that the technology or equipment used to detect crowd flows are different. For example, focus on accuracy, use the camera to record in real-time, and analyze the flow of people with the relevant algorithms. Or pay more attention to the scope of application, using the GPS information uploaded by the user when using the map service to obtain the direction and speed information of the crowd. In this paper, we propose a clientserver system based on Bluetooth scanning to obtain crowd information. Our proposed system has the advantages of low cost and location flexibility. The system can detect any area without pre-deployed, as long as there is a sufficient number of users involved.

Project Design and Implementation of Face Recognition, Fever Detection, and Attendance Record Based on Sensing Technology

“…(4) The principles and technology of sensing are applied to the research and analysis of business processes such as facial recognition, body temperature testing, and automated attendance recording using web technology. (5,6) The purpose of this study is to establish a fever detection file database for returning workers, (7) and use face recognition system technology to identify them and give them a green or red health code to indicate whether their current health allows them to enter the workplace. (8) At the same time, a database for an attendance system is established, (9) which can effectively monitor and control the current situation of disease prevention and contact time series, track the timeline and condition of patients with a fever, and establish a personal and group database.…”

Understanding Crowd Behaviors in a Social Event by Passive WiFi Sensing and Data Mining

“…Sometimes, to increase the detection rate of Bluetooth scanning, special devices are distributed to event participants, such as tracking bracelets used in [16]. Moreover, instead of making Bluetooth sensors detect passing-by mobile devices, some studies deployed Bluetooth beacons in the studied area and made participants carrying special mobile devices that can collect signals sent by surrounding beacons [17], [18]. Such a sensing schema enables the precise localization of the participants and can provide real-time location-based services (such as guiding) to the participants [19], [20].…”