Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: , the authors present an evaluation of a new biometric based on electrocardiogram (ECG) waveforms. ECG data re collected from 50 subjects during three data-recording sessions on different days using a simple user interface, where subjects held two electrodes on the pads of their thumbs using their thumb and index fingers. Data from session 1 re used to establish an enrolled database, and data from the remaining two sessions re used as test cases. Classification was performed using three different quantitative measures: percent residual difference, correlation coefficient, and a novel distance measure based on wavelet transform. The wavelet distance measure has a classification accuracy of 89%, outperforming the other methods by nearly 10%. This ECG person-identification modality would be a useful supplement for conventional biometrics, such as fingerprint and palm recognition systems.
['Adrian D. C. Chan', 'Mohyeldin M. Hamdy', 'Armin Badre', 'Vesal Badee']
I am writing a research paper on a idea Wavelet Distance Measure for Person Identification Using Electrocardiograms
[{"from": "human", "value": "I am writing a research paper on a idea Wavelet Distance Measure for Person Identification Using Electrocardiograms"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: , the authors present an evaluation of a new biometric based on electrocardiogram (ECG) waveforms. ECG data re collected from 50 subjects during three data-recording sessions on different days using a simple user interface, where subjects held two electrodes on the pads of their thumbs using their thumb and index fingers. Data from session 1 re used to establish an enrolled database, and data from the remaining two sessions re used as test cases. Classification was performed using three different quantitative measures: percent residual difference, correlation coefficient, and a novel distance measure based on wavelet transform. The wavelet distance measure has a classification accuracy of 89%, outperforming the other methods by nearly 10%. This ECG person-identification modality would be a useful supplement for conventional biometrics, such as fingerprint and palm recognition systems."}]