Continuous Authentication Using Gait Patterns
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-1410-4_37
Reference34 articles.
1. Tasjid MS, Al Marouf A (2021) Leveraging smartphone sensors for detecting abnormal gait for smart wearable mobile technologies. iJIM 15:167
2. Nutakki C, Nair SV, Sujitha NA, Kolagani B, Kailasan IP, Gopika A, Diwakar S (2021) Sensor-based analysis of gait and assessment of impacts of backpack load on walking. In: Cybernetics, cognition and machine learning applications. Springer, Singapore, pp 231–238
3. Nutakki C, Bodda S, Diwakar S (2020) Correlations of gait phase kinematics and cortical EEG: modelling human gait with data from sensors. In: Advances in neural signal processing. IntechOpen
4. Luo Y, Coppola SM, Dixon PC, Li S, Dennerlein JT, Hu B (2020) A database of human gait performance on irregular and uneven surfaces collected by wearable sensors. Sci Data 7:1–9. Nature Publishing Group
5. Bakchy SC, Islam M, Mahmud MR, Imran F, et al (2022) Human gait analysis using gait energy image. arXiv:2203.09549
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