A Novel Approach to Dynamic Signature Verification Using Sensor-Based Data glove

Sayeed, Shohel; Kamel, Nidal; Besar, Rosli

doi:10.3844/ajassp.2009.233.240

Cited by 14 publications

(8 citation statements)

References 19 publications

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“…The advantages of using data glove are: it offers multiple degrees of freedom; permits the user to communicate to the computer to larger extent than most other input devices (Kamel et al 2008;Oz et al, 2004). The data glove is designed as a 3D input device, suitable for a wide range of applications like control and manipulation of virtual worlds, gesture and cognitive media, physiotherapy rehabilitation, control device for artists in remote controlled environment (Gentner and Classen, 2009;Sayeed et al, 2007aSayeed et al, , 2007bSayeed et al, 2009).…”

Section: Literature Reviewmentioning

confidence: 99%

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High-speed gesture modelling through boundary analysis of active signals from wearable data glove

Samraj¹,

Kumarasamy²,

Rajendran³

et al. 2019

IJGUC

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Assistive technology utilises communication by means of gestures with high appreciation in the fields of rehabilitation engineering and security. The necessity for such technique is to extract the communications in terms of intentions from the disabled community. Such systems play a very crucial role during emergency as well as to perform regular communication during normal course of life. To interpret and communicate most distinctive requirements of the person with disability, the caregivers and medical support agents need a welldefined and distinguishable gesture paradigm with its recognition system. Conversion of such communicative gestures is to be made precise and easy. In this proposed work, the feature construction is made with a simple modelling of the gesture signals along the time zone considerations created during the gesture activity. The identification of most active channels for every subject involved in this experiment for different gestures contributes to reduction of complexity in processing and hardware cost.

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Section: Literature Reviewmentioning

confidence: 99%

“…n and n is the sample size. The standard deviation is calculated to identify the most active channels (Sayeed et al, 2009). This is done for reducing feature size, computational complexity by eliminating low performing channels and reduction of hardware.…”

Section: Standard Deviationmentioning

confidence: 99%

High-speed gesture modelling through boundary analysis of active signals from wearable data glove

Samraj¹,

Kumarasamy²,

Rajendran³

et al. 2019

IJGUC

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“…sample (D) [8]. The fractal dimension of the sample (D) then becomes [9] where, U and V are real orthogonal matrices, S is a real pseudo diagonal matrix with non-negative diagonal element [5,6].…”

Section: Singular Value Decomposition (Svd)mentioning

confidence: 99%

Emergency Gesture Communication by Patients, Elderly and Differently Abled with Care Takers Using Wearable Data Gloves

Rajendran¹,

Samraj²,

Rajavel³

2013

JSIP

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The Healthcare monitoring on a clinical base involves many implicit communication between the patient and the care takers. Any misinterpretation leads to adverse effects. A simple wearable system can precisely interpret the implicit communication to the care takers or to an automated support device. Simple and obvious hand movements can be used for the above purpose. The proposed system suggests a novel methodology simpler than the existing sign language interpretations for such implicit communication. The experimental results show a well-distinguished realization of different hand movement activities using a wearable sensor medium and the interpretation results always show significant thresholds.

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“…In other words, current systems are still far away from the capability of the human perception system, research in biometric systems has been increasing significantly due to international insecurity environment. Research groups around the world are developing algorithm and systems based on face, iris, fingerprint, palm print or voice and one other possible biometric source is the ear (Sayeed et al, 2009;Rizon et al, 2006;Galbiati, 1990;Hong et al, 1998;Rehan and Rashid, 2004;Khairul and Osamu, 2010;Tabassi and Wilson, 2005).…”

Section: Introductionmentioning

confidence: 99%

Comment on "Method of Fingerprint Identification"

Gaol¹

2011

Journal of Computer Science

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Problem statement: Paper that written by Surachai Panich reported matching two fingerprints taken from small database of fingerprints. Approach: In this study we used extensive literature review and research publication. We also compare with some best practices that applied in the business and industrial field for matching the fingerprints. Results: Surachai Panich used his method only for around one hundred data. However, we found that in the recent research most of the fingerprint problems are explore in million of data. I found some of the literature review are quiet old. Since the advancement of Fingerprint matching is increase very rapidly so the comparison with the recent publication is a must. The comparison has to be in the experimental using million of data as the input. We do not find such experimental result on this paper. Conclusion/Recommendations: The paper should explore more in biometrics feature extraction for matching process. The biometrics have analogy to the use of physiological or biological characteristics to measure the identity of an individual. These features are assuming unique to each individual and remain unaltered during a person's lifetime. These features make biometrics a promising solution to the society.

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A Novel Approach to Dynamic Signature Verification Using Sensor-Based Data glove

Cited by 14 publications

References 19 publications

High-speed gesture modelling through boundary analysis of active signals from wearable data glove

High-speed gesture modelling through boundary analysis of active signals from wearable data glove

Emergency Gesture Communication by Patients, Elderly and Differently Abled with Care Takers Using Wearable Data Gloves

Comment on "Method of Fingerprint Identification"

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