FingMag

Bioelectromagnetic-response-based Input Interface for Mobile Devices —Finger Identification Using Bioimpedance Characteristics—

“…(1,2) For instance, an interface in which microfiber optics are used to project images and identify fingerprints simultaneously and extend operation according to each fingerprint (3) or finger identification based on the capacitance image of the finger in contact with the touch panel (4,5) has been proposed. Previously reported methods for identifying fingers using attached sensors include the attachment of an IR proximity sensor to the finger pulp to detect the distance between the finger and the touch panel, (6) the incorporation of a ring that contains a built-in magnet and a magnetic sensor to the touch panel, (7) and the attachment of a vibration sensor to each finger to detect vibrations when the finger touches the touch panel. (8) In the case of the human body communication technology, (9)(10)(11) a system where finger identification is performed using a highfrequency signal transmitter worn on a wrist, which measures, for example, signal attenuation, propagation delay, and phase difference, is being examined.…”

“…However, these approaches either involve operating large installed devices (3,12) or require wearing additional devices. (6)(7)(8) Furthermore, in existing systems that can achieve finger identification using only mobile devices, there are issues such as low identification accuracy due to the necessity for user training (4) and operational delays stemming from complex identification algorithms. (5) Therefore, these approaches must be improved so that they can be incorporated to mobile devices and also to ensure high identification rates with simple algorithms.…”