Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Accelerometers embedded in mobile devices have shown great potential for non-obtrusive gait biometrics by directly capturing a user's characteristic locomotion. Although gait analysis using these sensors has achieved highly accurate authentication and identification performance under controlled experimental settings, the robustness of such algorithms in the presence of assorted variations typical in real world scenarios remains a major challenge. ,  propose a novel pace independent mobile gait biometrics algorithm that is insensitive to variability in walking speed. Our approach also exploits recent advances in invariant mobile gait representation to be independent of sensor rotation. Performance evaluations on a realistic mobile gait dataset containing 51 subjects confirm the merits of the proposed algorithm toward practical mobile gait authentication.
['Yu Zhong', 'Yunbin Deng', 'Geoffrey S. Meltzner']
I am writing a research paper on a idea Pace independent mobile gait biometrics
[{"from": "human", "value": "I am writing a research paper on a idea Pace independent mobile gait biometrics"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Accelerometers embedded in mobile devices have shown great potential for non-obtrusive gait biometrics by directly capturing a user's characteristic locomotion. Although gait analysis using these sensors has achieved highly accurate authentication and identification performance under controlled experimental settings, the robustness of such algorithms in the presence of assorted variations typical in real world scenarios remains a major challenge. ,  propose a novel pace independent mobile gait biometrics algorithm that is insensitive to variability in walking speed. Our approach also exploits recent advances in invariant mobile gait representation to be independent of sensor rotation. Performance evaluations on a realistic mobile gait dataset containing 51 subjects confirm the merits of the proposed algorithm toward practical mobile gait authentication."}]