Egronomic Fingerprint Scanner Design for People with Motor Neuron Diseases

Abstract

Fingerprint devices have evolved with time for authentication and identification purposes. It is used in generic security and social applications where identification and logging is required when entering that premises. In some circumstances the lag time increases due to increase in human entrees such as at immigration points, airports, random security checkups, attendance loggers. The increase in overall time due to individual human delay factors present a major hindrance in smooth security as well as organizational operations. The delay could occur due to non-technical factor such as not placing the fingers firmly in the surface of the device. This is a major cause of concern for senior citizens and people with motor neuron diseases such as Parkinson’s, Huntington’s and Alzheimer’s disease. Therefore, a design is proposed in this research which can help the scanner to acquire fast and precise fingerprint scan of senior citizens and people with motor neuron diseases. This 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 were taken for statistical analysis using a normal fingerprint 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.