• Vaidehi Dhawale
• Shubham Kadam
• Sonali Patil

– Automated analysis of human facial gesture and voice emotions is becoming an area of intense interest in Computer Science and Human-Computer interaction communities. Similarly, during the technical interviews it will be possible to find whether the candidate is honestly replying to all the questions by measuring the change in emotions during his responses and co-relating it with the vast amount of knowledge available. Detecting a face is most important to till the gesture or signature such as smile, sad, laugh, surprised, etc. type of emotions performed. Face detection has been the most important and active research field. A candidate/interviewer interaction is susceptible to many categories of emotions. Such emotions make it hard to determine whether a candidate’s personality is a good fit for the job. We cannot determine what the candidate is trying to say. The goal of this is to measure a candidate’s facial expressions to capture their moods and further access their personality traits.

Face gesture detection, Eye-ball movement tracking, Natural Language Processing.

"Facial Gesture Detection and Eye Tracking for checking personality traits during technical tests", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.632-634, December-2018, Available :http://www.jetir.org/papers/JETIR1812593.pdf

"Facial Gesture Detection and Eye Tracking for checking personality traits during technical tests", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp632-634, December-2018, Available at : http://www.jetir.org/papers/JETIR1812593.pdf