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Toward Personal Authentication Using Gesture Classification with EMG Data

Ryusei SHIBATA, Tsuyoshi MIKAMI, Takuma AKIDUKI, Yuto OMAE, Hirotaka TAKAHASHI
2021 Journal of Japan Society for Fuzzy Theory and Intelligent Informatics  
Ozaki: "On Applying Support Vector Machine to a User Authentication Method Using Surface Electromyogram Signals," Artificial Life and Robotics, Vol.23, pp.  ...  In our previous research, we performed the gesture identification by using Support Vector Machine (SVM).  ... 
doi:10.3156/jsoft.33.1_549 fatcat:fsvmhrnhkzb27ph5cqa3mdrr4y

Biometrics Verification Modality Using Multi-Channel sEMG Wearable Bracelet

Sherif Said, Abdullah S. Karar, Taha Beyrouthy, Samer Alkork, Amine Nait-ali
2020 Applied Sciences  
In this work, the viability of using surface electromyogram (sEMG) as a biometric modality for users verification is investigated.  ...  This work demonstrates the usefulness of sEMG as a biometric authenticator in user verification.  ...  Support vector machine (SVM) classifiers of each user were trained on separating these four features, where cross validation was performed using the same raw data.  ... 
doi:10.3390/app10196960 fatcat:4xirlj545jcytm6kotguowmbvq

Development of Miniaturized Wearable Wristband Type Surface EMG Measurement System for Biometric Authentication

Siho Shin, Mingu Kang, Jaehyo Jung, Youn Tae Kim
2021 Electronics  
In addition, for accurately classifying and applying the measured signal to the personal authentication system, an optimal algorithm for classifying the EMG signals based on a multi-class support vector  ...  In this study, a wearable electromyogram (EMG) system that can be worn on the forearm was developed to detect EMG signals and, subsequently, apply them for personal authentication.  ...  In previous studies that attempted to perform authentication using a surface electromyogram, similar to the system that we proposed, special hand gestures performed by a user were analyzed and classified  ... 
doi:10.3390/electronics10080923 fatcat:3s7gft7opbco5kmpctqvvmbepi

Biometric From Surface Electromyogram (sEMG): Feasibility of User Verification and Identification Based on Gesture Recognition

Jiayuan He, Ning Jiang
2020 Frontiers in Bioengineering and Biotechnology  
This study explored the feasibility of surface electromyogram (sEMG), the electrical manifestation of muscle activities, as a biometric trait.  ...  The accurate gesture recognition from sEMG provided a unique advantage over two traditional electrical biosignal traits, electrocardiogram (ECG), and electroencephalogram (EEG), enabling users to customize  ...  On applying support vector machines to a user authentication method using surface electromyogram signals. Artif.  ... 
doi:10.3389/fbioe.2020.00058 pmid:32117937 pmcid:PMC7033497 fatcat:gpyvvdriynhrzcbeyrq3oglfk4

Perspective and Evolution of Gesture Recognition for Sign Language: A Review

Jesús Galván-Ruiz, Carlos M. Travieso-González, Acaymo Tejera-Fettmilch, Alejandro Pinan-Roescher, Luis Esteban-Hernández, Luis Domínguez-Quintana
2020 Sensors  
One of the most important conclusions is the ability of the Leap Motion sensor to provide 3D information from the hands for due identification.  ...  At the end of the review, Leap Motion sensor possibilities are described in detail, in order to consider its application on the field of sign language.  ...  Acknowledgments: Authors show their acknowledgment to "ASOR Las Palmas" (Las Palmas de Gran Canaria, Spain), for its support, their shared knowledge and help provided by its staff.  ... 
doi:10.3390/s20123571 pmid:32599793 pmcid:PMC7349703 fatcat:nt2un5zkvzgcjm4hnbbmk2grl4

Evaluation of Bioelectric Signals for Human Recognition

Anita Pal, Ajeet Kumar Gautam, Yogendra Narain Singh
2015 Procedia Computer Science  
This paper presents an evaluation of bioelectrical signals to use as a biometric for human recognition.  ...  The favorable characteristics to use these signals as biometrics include universality, measurability, uniqueness and robustness.  ...  The most commonly used kNN for ECG biometric are whereas the support vector machine is also used in ECG recognition.  ... 
doi:10.1016/j.procs.2015.04.211 fatcat:i6xtsfjf3zg2piojyb77qiihbe

ECG Biometric Authentication: A Comparative Analysis

Mohit Ingale, Renato Cordeiro, Siddartha Thentu, Younghee Park, Nima Karimian
2020 IEEE Access  
Robust authentication and identification methods become an indispensable urgent task to protect the integrity of the devices and the sensitive data.  ...  signals and the fact that they are ubiquitous and difficult to counterfeit.  ...  ACKNOWLEDGMENT The authors would like to thank Chun-Min Chang and the Research Center for Applied Sciences, Academia Sinica, Taiwan for providing the ECG-BG dataset.  ... 
doi:10.1109/access.2020.3004464 fatcat:hhk7aumwpbfpzdgjsusu4xs23y

A Survey on Modality Characteristics, Performance Evaluation Metrics, and Security for Traditional and Wearable Biometric Systems [article]

Aditya Sundararajan, Arif I. Sarwat, Alexander Pons
2019 arXiv   pre-print
Biometric research is directed increasingly towards Wearable Biometric Systems (WBS) for user authentication and identification.  ...  To bridge the gap, this paper accordingly reviews and compares the key characteristics of modalities, contrasts the metrics used to evaluate system performance, and highlights the divergence in critical  ...  Feature matching uses one-class models for authentication and multi-class models for identification based on kNN, Support Vector Machines (SVMs), Bayesian Networks and NaÃŕve Bayes, and Artificial Neural  ... 
arXiv:1903.02548v1 fatcat:mkl32giawnb5lgornzq4w3ec74

Brain computer interfacing: Applications and challenges

Sarah N. Abdulkader, Ayman Atia, Mostafa-Sami M. Mostafa
2015 Egyptian Informatics Journal  
Different solutions that aim to limit and decrease their effects have also been reviewed. Ó 2015 Production and hosting by Elsevier B.V. on behalf  ...  It creates a mutual understanding between users and the surrounding systems. This paper shows the application areas that could benefit from brain waves in facilitating or achieving their goals.  ...  Support vector machine. SVM is an algorithm that belongs to a category of classification methods which use supervised learning to separate two different classes of data.  ... 
doi:10.1016/j.eij.2015.06.002 fatcat:iiopgu4eqfekrc6ombyjy6sk2y

3D Facial Expression Recognition Based on Kinect

Wei Wei, Qingxuan Jia
2017 International Journal of Innovative Computing, Information and Control  
In order to endow robot with the ability of affective computing which is similar to person, we propose an approach that uses noisy depth data produced by the low resolution sensor for robust 3D facial  ...  We extract facial expression feature vector combining facial feature points (FFPs) feature vector with action units (AUs) feature vector through Face Tracking SDK.  ...  This work was supported by the National Natural Science Foundation of China (No. 61573066).  ... 
doi:10.24507/ijicic.13.06.1843 fatcat:7pbuqsmv4bgrjjah727rnsshbu

Evolution, Current Challenges, and Future Possibilities in ECG Biometrics

Joao Ribeiro Pinto, Jaime S. Cardoso, Andre Lourenco
2018 IEEE Access  
In this paper, we conduct a deep review and discussion of 93 state-of-the-art publications on their proposed methods, signal datasets, and publicly available ECG collections.  ...  Commercial products using these traits for biometric identification or authentication are increasingly widespread, from smartphones to border control.  ...  [19] proposed the use of User-Tuned Authentication, applying different specific thresholds depending on the identity claimed for each authentication task.  ... 
doi:10.1109/access.2018.2849870 fatcat:jsnjs2cdqnbttn6hxtm2r6jkn4

Electrical Impedance of Upper Limb Enables Robust Wearable Identity Recognition against Variation in Finger Placement and Environmental Factors

Hyung Wook Noh, Joo Yong Sim, Chang-Geun Ahn, Yunseo Ku
2021 Biosensors  
To address these challenges, we propose a biometric authentication method through robust feature extraction from the upper-limb impedance acquired based on a portable wearable device.  ...  However, one may still question its accuracy in real-life use due to the artifacts from sensing position variability and electrode–skin interfacing noise.  ...  For the identification of individuals, we applied the discriminative machine learning models of random forest (RF), linear discriminative analysis (LDA), K-nearest neighbor (KNN) and support vector machine  ... 
doi:10.3390/bios11100398 pmid:34677354 pmcid:PMC8534261 fatcat:sy5bsgljhba5rc2m2oiarlllmy

Bio-signal data sharing security through watermarking: a technical survey

N. Sharma, A. Anand, A. K. Singh
2021 Computing  
This survey provides a comprehensive survey on data hiding techniques, and their new trends for solving new challenges in real-world applications.  ...  However, stealing of healthcare data is increasing crime every day to greatly impact on financial loss.  ...  Acknowledgements This research is supported by research project entitled "Copyright protection tool for digital data" order no.  ... 
doi:10.1007/s00607-020-00881-y fatcat:eapjw2qnhbeglehvgieiskdmcu

A Survey on Healthcare Systems using Internet of Things

Chitra Ramesh, Jayalakshmi Sekar, J. Kannan R., P. Kommers, A. S, A. Quadir Md
2021 ITM Web of Conferences  
The Internet of Things allows things to become active users, facilitating interaction with things and the sharing of data between them.  ...  This is accomplished by constant surveillance of patients through the use of sensors. The collected data is registered for potential uses and used for analytics.  ...  Pack Yang et al [34] developed a compact gadget with a bio-detecting facial cover to track the tormenting power of a patient using electromyogram facial surface (sEMG).  ... 
doi:10.1051/itmconf/20213701015 fatcat:xaiz5n6rx5bd5deng4vcfxmsw4

Pattern Mining Approaches used in Sensor-Based Biometric Recognition: A Review

Jyotismita Chaki, Nilanjan Dey, Fuqian Shi, R. Simon Sherratt
2019 IEEE Sensors Journal  
A significant number of approaches from image processing, pattern identification and machine learning have been used to process sensor data.  ...  This paper aims to deliver a state-of-the-art summary and present strategies for utilizing the broadly utilized pattern mining methods in order to identify the challenges as well as future research directions  ...  Support Vector Machine The Support Vector Machine (SVM) is widely used to estimate   | i P y x for biometric data.  ... 
doi:10.1109/jsen.2019.2894972 fatcat:dgovo3imwnc4hijvrnnwykfq6u
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