AUTOMATIC DETECTION OF ELDERLY ON TOUCH SCREEN INTERFACES USING TOUCH GESTURE MEASUREMENTS, ,


Farukh F., Duru N.

The 10th International Conference on Image Processing, Wavelet and Applications (IWW2019, Kocaeli, Turkey, 18 - 20 October 2019, pp.239-244

  • Publication Type: Conference Paper / Full Text
  • City: Kocaeli
  • Country: Turkey
  • Page Numbers: pp.239-244

Abstract

Nowadays, touch screen interfaces are widespread and used in everyday areas of life ranging from personal smartphones, computers, tablets to public service points like ATMs, restaurants, airports and even electronic voting systems. With the prevalence of machine learning, many researchers have worked on automatically detecting the demographics of a user for many reasons including enhancing security, content filtering, customizing recommendations, anomaly detection and improving usability. This paper follows the research done over the years and reports on the verdicts attained. High accuracies have been reported by most researchers thus proving that automatic detection of user demographics based on different metrics is possible