Mobile phone user authentication with grip gestures using pressure sensors. Issue 3 (7th September 2015)

• Record Type: Journal Article
• Authors: Murao, Kazuya; Tobise, Hayami; Terada, Tsutomu; Iso, Toshiki; Tsukamoto, Masahiko; Horikoshi, Tsutomu
• Is Part Of: International journal of pervasive computing and communications. Volume 11:Issue 3(2015)
• Page Start: 288
• Page End: 301
• Publication Date: 2015-09-07
• Subjects: Ubiquitous computing -- Periodicals; Mobile computing -- Periodicals; Computer network protocols -- Periodicals; Computer network architectures -- Periodicals; Application software -- Development -- Periodicals; 004.6
• DOI: 10.1108/IJPCC-03-2015-0017
• Languages: English
• ISSNs: 1742-7371

Abstract

<abstract> <title> <x content-type="archive" xml:space="preserve">Abstract</x> </title> <sec> <title content-type="abstract-heading">Purpose</title> <p> – User authentication is generally used to protect personal information such as phone numbers, photos and account information stored in a mobile device by limiting the user to a specific person, e.g. the owner of the device. Authentication methods with password, PIN, face recognition and fingerprint identification have been widely used; however, these methods have problems of difficulty in one-handed operation, vulnerability to shoulder hacking and illegal access using fingerprint with either super glue or facial portrait. From viewpoints of usability and safety, strong and uncomplicated method is required. </p> </sec> <sec> <title content-type="abstract-heading">Design/methodology/approach</title> <p> – In this paper, a user authentication method is proposed based on grip gestures using pressure sensors mounted on the lateral and back sides of a mobile phone. Grip gesture is an operation of grasping a mobile phone, which is assumed to be done instead of conventional unlock procedure. Grip gesture can be performed with one hand. Moreover, it is hard to imitate grip gestures, as finger movements and grip force during a grip gesture are hardly seen by the others. </p> </sec> <sec> <title content-type="abstract-heading">Findings</title> <p> – The feature values of grip force are experimentally investigated and the proposed method from viewpoint of error rate is evaluated. From the result, this method achieved 0.02 of equal error rate, which is equivalent to face recognition. </p> </sec> <sec> <title content-type="abstract-heading">Originality/value</title> <p> – Many researches using pressure sensors to recognize grip pattern have been proposed thus far; however, the conventional works just recognize grip patterns and do not identify users, or need long pressure data to finish confident authentication. This proposed method authenticates users with a short grip gesture.</p> </sec> </abstract>