EGRONOMIC FINGERPRINT SCANNER DESIGN FOR PEOPLE WITH MOTOR NEURON DISEASES

Abstract

Fingerprint devices have evolved with time for auth entication and identification purposes. It is used in generic security and social applications where iden tification and logging is required when entering th at premises. In some circumstances the lag time increa ses due to increase in human entrees such as at immigration points, airports, random security check ups, attendance loggers. The increase in overall ti me due to individual human delay factors present a maj or hindrance in smooth security as well as organizational operations. The delay could occur du e to non-technical factor such as not placing the f ingers firmly in the surface of the device. This is a majo r cause of concern for senior citizens and people w ith motor neuron diseases such as Parkinson’s, Huntingt on’s and Alzheimer’s disease. Therefore, a design i s proposed in this research which can help the scanne r to acquire fast and precise fingerprint scan of s enior citizens and people with motor neuron diseases. Thi s design uses ergonomically designed cover head for the scanner whose working is based on the Poka Yoke principle which assists firm finger placement on the scanner. In this research, 250 fingerprint scans we re taken for statistical analysis using a normal fi ngerprint scanner and our proposed model scanner. Statistical comparison between the two results shows that our proposed model performs much better in terms of time consumption and accuracy.