Researchers are using artificial intelligence (AI) to detect behavioral signs of anxiety

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Researchers are utilizing artificial intelligence (AI) to identify behavioral symptoms of anxiety with more than 90% accuracy, implying that AI may have future uses for treating mental health and well-being. Pervasive and Mobile Computing is where they published their findings. Anjum, a visiting professor and social psychologist at Simon Fraser University, believes that "with the two years after the commencement of COVID-19 and one climatic calamity after the other, more and more individuals are suffering anxiety." According to this study, artificial intelligence (AI) may be able to detect indicators of anxiety reliably.

The Human Activity Recognition (HAR) research was conducted by Anjum, Nida Saddaf Khan, and Sayeed Ghani from the Institute of Business Administration in Karachi, Pakistan. Wearing sensors that recorded their motions, participants went through a series of tasks in a predetermined sequence. The researchers compiled a list of everyday anxiety-related actions for the sensors to identify, such as nail-biting, knuckle cracking, or hand tapping. Deep learning methods and computational hybrid models were used to study their behavior.

According to the American Psychiatric Association (APA), anxiety disorder is the most prevalent mental condition, affecting 30 percent of the adult population. According to the experts (AD), psychiatric problems, such as anxiety disorder, might benefit from the use of artificial intelligence.

According to Anjum, "We are hoping that as more work is done on this technology, we can assist in the development of more reliable data for clinical research and practitioners." "The ultimate objective of this study is to enhance people's mental health by identifying and treating anxiety problems."

According to Khan, advancements in AI and sensor technologies are increasing at an accelerating rate "access to, and processing of data relating to mental, emotional and behavioral illnesses has been made accessible by the internet. It may be used to understand better and enhance people's mental health in general."

Ghani believes that "there is a huge possibility for healthcare to benefit from the uses of AI, and our study in employing motion sensors for identifying anxiety-related behaviors as an example of what is feasible."


Nida Saddaf Khan, Muhammad Sayeed Ghani, Gulnaz Anjum, ADAM-sense: Anxiety-displaying activities recognition by motion sensors, Pervasive and Mobile Computing, Volume 78, 2021, 101485, ISSN 1574-1192,

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