Deception detection on the Bag-of-lies dataset

Lie detection has been a topic of interest since the beginning of the 20th century, and since then a lot of different methods have been used to try to achieve this, such as changes in inspiration-expiration ratio, increases in systolic blood pressure, dilatation of the pupil size, heart rate, etc. Usually, when people think about lie detection, the most common method that comes to mind is the polygraph. This method combines various techniques to detect autonomic reactions which include changes in body functions that are not easily controlled by the conscious mind. However, still requires a large amount of training which is achieved by control questions where the answers are known to later compare how the subject reacts. Polygraph offers an accuracy of around 70% in the general population⁴, a number which is greater than trained humans can achieve by just looking at the person, however, this doesn't mean that this method is infallible since people have found ways to cheat the system by just training or by using drugs to suppress these reactions. In general, these methods usually have not offered as good results as to be used in court in most countries.