Danger detection technology based on multimodal and multilog data for public safety services

Abstract

Recently, public safety services have attracted significant attention for their ability to protect people from crimes. Rapid detection of dangerous situations (that is, abnormal situations where someone may be harmed or killed) is required in public safety services to reduce the time required to respond to such situations.This study proposes a novel danger detection technology based on multimodal data, which includes data from multiple sensors (for example, accelerometer, gyroscope, heart rate, air pressure, and global positioning system sensors), and multilog data, which includes contextual logs of humans and places (for example, contextual logs of human activities and crime-ridden districts) over time. To recognize human activity (for example, walk, sit, and punch), the proposed technology uses multimodal data analysis with an attitude heading reference system and long short-term memory. The proposed technology also includes multilog data analysis for detecting whether recognized activities of humans are dangerous. The proposed danger detection technology will benefit public safety services by improving danger detection capabilities.

Intelligent wearable and portable security detection technologies integrated into protective equipment: A review

“…In the field of security detection, wearable technology offers several advantages compared to traditional detection technology, but there are also unresolved issues, as shown in Table 1. [20][21][22] In the following sections, wearable safety detection technologies based on textiles and flexible materials will be discussed. These technologies primarily focus on flexible sensor components as they play a crucial role in integrating wearable technologies with smart electronic detection systems.…”

“…The advantages and disadvantages of wearable technologies over the traditional ones. [20][21][22] Advantages 20,21 Disadvantages 20,22 □ Portability □ Unstable electrical properties □ Quick detection □ Battery power consumption □ Real-time detection □ Gradual cost reduction □ Improved detection efficiency European research Action "CONTEXT". 23,24 Based on this foundation, particular emphasis will be placed on the implementation of portability and flexibility of security detection technology, which will enhance its application in outdoor or temporary disposal scenarios, areas of our specific interest.…”

Artificial Intelligence Based Emergency Identification Computer System

“…Papers [1][2][3][4] describe the systems that allow the identification of various dangerous situations. The authors of study [1] propose a hazard detection technology based on the analysis of multimodal data from several sensors on a smartphone and smartwatch, as well as contextual data from several people and places over time.…”

“…Papers [1][2][3][4] describe the systems that allow the identification of various dangerous situations. The authors of study [1] propose a hazard detection technology based on the analysis of multimodal data from several sensors on a smartphone and smartwatch, as well as contextual data from several people and places over time. The proposed Multilog Data Analysis (MLDA) helps to detect dangerous situations that are abnormal by analysing the contextual state of people, objects, and places.…”