Face Pattern Analysis History
Our Inner Blue Print
At this very moment you have in your hands, a valuable tool that will help you immediately recognize some of the key traits that are seen in the face. Traits that will help you better understand the strengths and challenges within your relationships. Understanding your own traits and those of your partners and friends is the first step toward creating meaningful relationships.
Since the time of Aristotle, scientists and philosophers have been fascinated by the relationship between people’s physical features and their personality. Physiognomy, the approximately 2,700-years-old study of the face, has intrigued and puzzled scientists for years. The first known face readings were made by the Chinese, who used their observations for diagnosing medical conditions. Later, the structural indicators of the face were used to determine personality types. This also included predicting a time in a person’s life when he or she would reach their greatest potential
Since that time there have been several attempts to revive the idea that a relationship exists between the physical-features and behavior.
The Technology Was Enhanced
In the 1930s, Los Angeles judge Edward Vincent Jones observed the behavioral patterns of the people who appeared before him in court and compared them to facial features. He became so fascinated by his observations that he dropped his judicial work and researched face pattern recognition, using works that were published by Johann Lavater and other notable authors on the subject. The initial research was conducted on over 10,000 people in the 1940’s. Using established scientific principles, Jones looked at 200 different facial features and later narrowed the number down to 68 traits. His studies also included hand and body proportions. His research indicated an 88 percent accuracy for personality profiling. His system replaced many of the older methods for “typing” people. Thanks to Judge Jones, this “new” physiognomy became the modern-day scientific approach to reading faces. He later termed this study “Personology.” Today we use the term Face Pattern Analysis.
Jones’ contribution to the understanding of human nature as revealed in the face, took physiognomy to a new level of acceptance, credibility, understanding, and application. He applied the new physiognomy to jury selection, personal development, improving relationships, understanding children, sales, and career assessments.
In 1943, a study was conducted on a freshmen class of the United States Army Air Force to determine how many men would stay the course. The study predicted outcomes with 97 percent accuracy. They also suggested the types of aircraft the pilots should fly.
Later, Jones met up with newspaper editor Robert Whiteside who was like many before him, somewhat skeptical about face analysis. However, once he received a consultation from Jones, he quickly became an ardent student and advocate of physiognomy. In the 1960s, Whiteside conducted further research on 1,028 subjects to determine the accuracy of Personology for personality profiling, relationship improvement and career assessment. The results indicated 92 percent accuracy for personality profiling; 86 percent of the participants stated the information helped them improve their relationships; and 88 percent stated they were satisfied with the career recommended to them.
The major difference between Face Pattern Recognition and other approaches to reading faces lies in the fact that Judge Jones’ extensively researched each trait and narrowed the number of important traits to 68. The accuracy rate of 88 percent or higher was based on feedback from over 11,000 of subjects studied both in person and from photographs. Now with the help of the latest software, FaceAffinity™ has developed Face Pattern Analysis to take this technology to the next level.
The Technology Today
The technology has now been brought to the digital world and the cloud-based FaceAffinity™ API has been created. The FaceAffinity™ API takes face images and returns personality traits as meta-data in seconds. There are no lengthy questionnaires to complete.
The FaceAffinity™ API stores no images. The API can be integrated with websites, apps, marketing software, and more.