With 5G communication technology and new AI-based systems such as emotion recognition systems, smart cities are all set to become a reality; but these systems need to be honed and security issues need to be ironed out before the smart reality can be realized.
Photo Courtesy: macrovector on Freepik
The combination of new 5G communication technologies with AI-based systems are ushering in a ‘smart generation’ of vehicles, drones, and even entire cities. Now, researchers take things one step further by introducing a 5G-assisted emotion detection system that uses wireless signals and body movement. In their latest publication, they outline its working principle, application prospects, and potential security threats, highlighting the need for a robust, impregnable AI algorithm to drive it.
With the advent of 5G communication technology and its integration with AI, we are looking at the dawn of a new era in which people, machines, objects, and devices are connected like never before. This smart era will be characterized by smart facilities and services such as self-driving cars, smart UAVs, and intelligent healthcare. This will be the aftermath of a technological revolution.
But the flip side of such technological revolution is that AI itself can be used to attack or threaten the security of 5G-enabled systems which, in turn, can greatly compromise their reliability. It is, therefore, imperative to investigate such potential security threats and explore countermeasures before a smart world is realized.
In a recent study published in IEEE Network, a team of researchers led by Prof. Hyunbum Kim from Incheon National University, Korea, address such issues in relation to an AI-based, 5G-integrated virtual emotion recognition system called 5G-I-VEmoSYS, which detects human emotions using wireless signals and body movement. “Emotions are a critical characteristic of human beings and separates humans from machines, defining daily human activity. However, some emotions can also disrupt the normal functioning of a society and put people’s lives in danger, such as those of an unstable driver. Emotion detection technology thus has great potential for recognizing any disruptive emotion and in tandem with 5G and beyond-5G communication, warning others of potential dangers,” explains Prof. Kim. “For instance, in the case of the unstable driver, the AI enabled driver system of the car can inform the nearest network towers, from where nearby pedestrians can be informed via their personal smart devices.”
The virtual emotion system developed by Prof. Kim’s team, 5G-I-VEmoSYS, can recognize at least five kinds of emotion (joy, pleasure, a neutral state, sadness, and anger) and is composed of three subsystems dealing with the detection, flow, and mapping of human emotions. The system concerned with detection is called Artificial Intelligence-Virtual Emotion Barrier, or AI-VEmoBAR, which relies on the reflection of wireless signals from a human subject to detect emotions. This emotion information is then handled by the system concerned with flow, called Artificial Intelligence-Virtual Emotion Flow, or AI-VEmoFLOW, which enables the flow of specific emotion information at a specific time to a specific area. Finally, the Artificial Intelligence-Virtual Emotion Map, or AI-VEmoMAP, utilizes a large amount of this virtual emotion data to create a virtual emotion map that can be utilized for threat detection and crime prevention.
A notable advantage of 5G-I-VEmoSYS is that it allows emotion detection without revealing the face or other private parts of the subjects, thereby protecting the privacy of citizens in public areas. Moreover, in private areas, it gives the user the choice to remain anonymous while providing information to the system. Furthermore, when a serious emotion, such as anger or fear, is detected in a public area, the information is rapidly conveyed to the nearest police department or relevant entities who can then take steps to prevent any potential crime or terrorism threats.
However, the system suffers from serious security issues such as the possibility of illegal signal tampering, abuse of anonymity, and hacking-related cyber-security threats. Further, the danger of sending false alarms to authorities remains.
While these concerns do put the system’s reliability at stake, Prof. Kim’s team are confident that they can be countered with further research. “This is only an initial study. In the future, we need to achieve rigorous information integrity and accordingly devise robust AI-based algorithms that can detect compromised or malfunctioning devices and offer protection against potential system hacks,” explains Prof. Kim, “Only then will it enable people to have safer and more convenient lives in the advanced smart cities of the future.”
Original Article: Artificial emotional intelligence: a safer, smarter future with 5G and emotion recognition
More from: Incheon National University
The Latest Updates from Bing News & Google News
Go deeper with Bing News on:
Artificial emotional intelligence
- 11 best sci-fi anime series expanding on artificial intelligence
Amidst this landscape, the exploration of artificial intelligence (AI) stands out as a recurring ... Plastic Memories- Official Facebook Account Plastic Memories revolves around the emotional ...
- Predictmedix AI Expands Reach and Impact in Healthcare Transformation Efforts
TORONTO, ON / ACCESSWIRE / April 25, 2024 / Inc. ("Predictmedix" or the "Company") (CSE:PMED)(OTCQB:PMEDF)(FRA:3QP), an emerging provider of rapid health screening solutions powered by a proprietary ...
- The Impact of Artificial Intelligence on Job Market Trends
Are robots taking over our jobs? Will artificial intelligence make human labor obsolete? These questions have been wandering over the job market for years, sparking debates and fears about the future ...
- Artificial intelligence isn’t just for tech students. All classrooms are finding ways to wield — and educate about — the powerful tool
Kennelly, animated and enthusiastic, is on the cutting edge. A new RAND study shows that as of the fall of last year, just 18 percent of educators said they use AI for teaching. Most used it to adapt ...
- Predictmedix AI Inc.: Predictmedix AI Expands Reach and Impact in Healthcare Transformation Efforts
PTSD screening can be deployed to assess emotional well-being of employees as well as ... Our Safe Entry Station (SES), powered by proprietary artificial intelligence (AI), utilizes multispectral ...
Go deeper with Google Headlines on:
Artificial emotional intelligence
[google_news title=”” keyword=”artificial emotional intelligence” num_posts=”5″ blurb_length=”0″ show_thumb=”left”]
Go deeper with Bing News on:
Emotion detection system
- Revolutionizing Healthcare with AI: Introducing a Breakthrough in Patient Care through Facial Emotion Recognition Technology
In an era where healthcare faces increasing complexity and demand, the introduction of an AI-driven facial emotion recognition device represents a significant leap forward. Device developed by ...
- Emotion Recognition AI: The Next Big Thing in Marketing?
In today's digital age, understanding customer behavior is more than just analyzing data and trends; it's about tapping into their emotions. That's where ...
- Apple Acquires French AI Company Specializing in On-Device Processing
Apple has acquired the Paris-based artificial intelligence startup Datakalab amid its push to deliver on-device AI tools. Datakalab specializes ...
- Smile, You’re on an In-Car Camera!
Advanced facial-recognition systems are being used to track a driver’s head and ... Brackenbury said Gentex is using AI machine vision to learn more about the health and emotions of vehicle occupants.
- Crime detection and crime hot spot prediction using a deep learning model
Crime is an age-old and never-ending problem for societies worldwide and crime detection and crime fighting have always chased after the criminals who often stay one step ahead.
Go deeper with Google Headlines on:
Emotion detection system
[google_news title=”” keyword=”emotion detection system” num_posts=”5″ blurb_length=”0″ show_thumb=”left”]