With the advent of 5G communication technology and its integration with AI, we are looking at the beginning of a new era where people, machines, objects and devices are connected like never before. This smart era is characterized by smart facilities and services such as self-driving cars, smart UAVs and intelligent care. This will be the aftermath of a technological revolution.
But the flip side of such a technology revolution is that AI itself can be used to attack or threaten the security of 5G-compliant systems, which in turn can significantly compromise their reliability. It is therefore imperative to investigate such potential security threats and investigate countermeasures before a smart world is realized.
In a recent study published in IEEE network, a team of researchers led by Prof. Hyunbum Kim of Incheon National University, Korea, addresses 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 exercise. "Emotions are a critical characteristic of humans and separate people from machines and determine daily human activity. However, some emotions can also disrupt the normal functioning of a society and endanger people's lives, such as that of an unstable driver. Emotion detection. So technology has great potential to recognize any disruptive emotion and, in combination with 5G and beyond 5G communication, to warn others of potential dangers, "explains Prof. Kim. "In the case of the unstable driver, for example, the car's AI-enabled driver system can inform the nearest network towers, from which nearby pedestrians can be informed through their personal smart devices."
The virtual emotion system developed by the team of Prof. Kim, 5G-I-VEmoSYS, can recognize at least five types of emotions (joy, pleasure, a neutral state, sadness and anger) and consists of three subsystems concerned with the detection, flow and mapping of human emotions. The system that deals 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 processed by the flow-related system called artificial intelligence virtual emotion flow, or AI-VEmoFLOW, which allows the flow of specific emotion information at a specific time to a specific area. Finally, the Artificial Intelligence-Virtual Emotion Map, or AI-VEmoMAP, uses a large amount of this virtual emotion data to create a virtual emotion map that can be used to detect threats and prevent crime.
A notable advantage of 5G-I-VEmoSYS is that it allows emotion detection without revealing the face or other private parts of the subjects, protecting the privacy of citizens in public areas. In addition, in private areas, it gives the user the choice to remain anonymous while providing information to the system. In addition, when a serious emotion, such as anger or fear, is detected in a public place, the information is quickly conveyed to the nearest police station or relevant entities, who can then take steps to prevent possible crime or terrorist threats.
However, the system faces serious security vulnerabilities such as the potential for unlawful manipulation of signals, abuse of anonymity and hacking-related cyber security threats. Furthermore, the danger remains that the authorities will send false alarms.
While these concerns jeopardize the reliability of the system, Prof. Kim's team is confident that they can be countered with further research. “This is just a first study. Going forward, we need to achieve rigorous information integrity and accordingly develop robust AI-based algorithms that can detect compromised or faulty devices and protect against potential system hacks,” explains Prof. Kim, “Only then it will enable people to live safer and easier lives in the advanced smart cities of the future. ”
Scientists propose a new way to detect emotions using wireless signals
Hyunbum Kim et al, Research Challenges and Security Threats to AI-driven 5G Virtual Emotion Applications using autonomous vehicles, drones and smart devices, IEEE network (2020). DOI: 10.1109 / MNET.011.2000245
Incheon National University
Artificial Emotional Intelligence: A Safer, Smarter Future With 5G and Emotion Recognition (2021, February 11)
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