The 10th International Conference on Image Processing, Wavelet and Applications (IWW2019, Kocaeli, Türkiye, 18 - 20 Ekim 2019, ss.239-244
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