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Xiaomi’s Latest Patent Uses Pupil Movement to Detect Deception

03/08/2023 2:36 PM

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Xiaomi’s New Patent Suggests a More Efficient Lie Detector Device

Since its invention in 1921, polygraphs have been the standard for deception detection. However, Xiaomi has been granted a patent for their “polygraph method, device, mobile terminal, and storage medium,” which suggests that the company is planning to develop a more efficient lie detector device that utilizes pupil movements to detect when someone is not telling the truth.

The Method Designed for Use on a Mobile Terminal

The abstract of the patent describes the method designed for use on a mobile terminal. It involves a telephoto pan-tilt camera, which will be used to capture facial images and track pupil movement during the lie-detection process. The method involves adjusting the telephoto pan-tilt camera’s shooting angle to focus on the face of the person being tested. The camera captures an image of the person’s face and tracks the movement of their pupils. The device then analyzes the pupil movement trajectory and determines if it meets a specific condition that indicates lying.

Physiological Responses as Potential Indicators of Lying

Movements of the eyes and dilation of pupils can effectively be used to detect whether someone’s lying. According to a study, when a person lies, their pupils will dilate by 4% to 8% of the initial pupil diameter, and the person will also blink their eyes up to 8 times more than their initial blink rate before being asked the question. These physiological responses are potential indicators of lying.

Integration into a Mobile Terminal

The patent describes how the device can be integrated into a mobile terminal (such as a smartphone) and enable a simple and effective lie detection function that can improve the user’s experience with the device.

Conclusion

Xiaomi’s new patent for a more efficient lie detector device that utilizes pupil movements to detect when someone is not telling the truth is a significant development in the field of deception detection. With the potential to be integrated into a mobile terminal, this technology could improve the user’s experience with the device and provide a more accurate way of detecting lies.