The history of wine may be as long as human history. It is said that primates have the habit of storing fruits, sometimes they will be accidentally produced into monkey wine due to natural fermentation. While human beings are evolved from ape like animals, wine may be as ancient as the history of human beings. Nowadays, drinking, as a social way to show intimate relationships, is becoming more and more common among young people. But drink for a while, but don’t drink! Sometimes alcohol on the brain, confused drunk, especially some people, drinking is often “afterpower foot.”. How to predict whether you are drunk in advance is very important to avoid personal injury and property safety in time. Smartphones can determine whether you’re drunk by analyzing your walking posture, according to a new study. The results were published in the Journal of studies on alcohol and drugs in the form of a paper. Brian shafletto, author of the paper and doctor of emergency department of Stanford medical center, said that mastering real-time information about alcoholism is essential to help people reduce alcohol consumption and prevent driving after drinking. “[/p > < p > wherever we go, we carry powerful sensors with us,” safleto said. “We need to learn how to use them to better serve public health.” For safleto, this is not just an academic study. “I lost a good friend who died in driving after drinking when I was in college. As an emergency doctor, I have looked after many adults who are hospitalized for acute alcoholism. That’s why I have been working on digital interventions for the past 10 years to prevent death and injury from excessive drinking. ” In this study, saffroto and colleagues recruited 22 adults aged 21-43 and asked the adult volunteers to complete a drink with sufficient vodka in an hour, which could make the drinkers’ respiratory alcohol concentration reach 0.20%. In the next seven hours, the researchers analyzed the concentration of exhalation alcohol per hour and asked them to walk. In the task, the researchers placed the smartphone on the back of each participant’s waist and secured it with a elastic belt. Volunteers need to walk along the line, then turn and walk back for 10 steps. During this period, the smartphone measured the acceleration and lateral, vertical and forward and backward movements of participants when walking. The results of the experiment showed that, in about 90% of the cases, the researchers could use the changes of walking posture to identify whether the exhaled alcohol concentration was more than 0.08%, which is the upper limit of driving alcohol concentration stipulated by American law. Although it is not convenient to put the smartphone at the waist and does not meet the real situation of people carrying the mobile phone in real life, the next step is to study the situation of people holding the mobile phone in their hands or in their pockets. Although this is a small survey, researchers believe that this is a “concept verification study” which lays a foundation for the future research on the remote detection of alcohol related damage using smart phones. “In the next five years, I imagine a world where people and friends go out and drink to the level of being drunk, they will be warned for the first time and get strategies to help them stop drinking and protect them from high-risk events.” Saffroto said. Next, safleto and his colleagues plan not only to detect the characteristics of alcohol related injuries in the real world on the basis of this study, but also to identify the best communication and behavioral strategies to influence and support individuals at high risk periods such as drunkenness.