Search Results - pattern recognition algorithm by human and machine

Influence of the signer's psychophysiological state on the results of his identification using handwritten pattern by natural and artificial intelligence by Sulavko, Alexey E., Shumashanova, Samal S., Nigrey, Alexey A., Zakutneva, Lala N.

“…  The human factor and process of identification still remain the most problematic, as well as user authentication…”
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Human gait recognition based on feature extraction of support vector machine and pattern network algorithm by AbdAlKader, Shahla A.

“… Gait recognition has ability to recognize individuals from a distance. "This study includes human gait recognition based firstly on support vector machine (SVM…”
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Review on electromyography based intention for upper limb control using pattern recognition for human-machine interaction by Asghar, Ali, Jawaid Khan, Saad, Azim, Fahad, Shakeel, Choudhary Sobhan, Hussain, Amatullah, Niazi, Imran Khan

“… (HMI). EMG signals are vital parameters for machine learning and deep learning algorithms and help to give an insight into the human brain's function and mechanisms…”
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Mechanomyography signals pattern recognition in hand movements using swarm intelligence algorithm optimized support vector machine based on acceleration sensors by Zhang, Yue, Cao, Gangsheng, Sun, Maoxun, Zhao, Baigan, Wu, Qing, Xia, Chunming

“… In this paper, pattern recognition of hand movements based on MMG signal is studied with swarm intelligence algorithms introduced to optimize support vector machine (SVM). Time domain (TD…”
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Biomechanical sensor signal analysis based on machine learning for human gait classification by Kuduz, Hacer, Kaçar, Fırat

“…) algorithms for human gait pattern recognition based on temporal gait speeds using wearable multichannel sensor data…”
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Grasp Pattern Recognition Using Surface Electromyography Signals and Bayesian-Optimized Support Vector Machines for Low-Cost Hand Prostheses by Grattarola, Alessandro, Mora, Marta C., Cerdá-Boluda, Joaquín, Ortiz, José V. García

“… This paper presents a pattern-recognition-based human–prosthesis interface that utilizes surface electromyography (sEMG…”
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Human activity recognition in smart environments employing margin setting algorithm by Igwe, Ogbonna Michael, Wang, Yi, Giakos, George C., Fu, Jian

“… Significant progress has been made in the application of effective machine learning algorithms for pattern recognition and prediction of human activities in smart environments, such as ambient…”
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Method of Analyzing and Managing Volleyball Action by Using Action Sensor of Mobile Device by Sun, Xu, Zhao, Kai, Jiang, Wei, Jin, Xinlong

“…With the development of electronic technology and sensor technology, more and more intelligent electronic devices integrate micro inertial sensors, which makes the research of human action recognition…”
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Artificial intelligence and machine learning: Definition of terms and current concepts in critical care research by Sun, Kai, Roy, Arkajyoti, Tobin, Joshua M.

“…With increasing computing power, artificial intelligence (AI) and machine learning (ML…”
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A common cortical metric for spatial, temporal, and social distance by Parkinson, Carolyn, Liu, Shari, Wheatley, Thalia

“…? To address this question, we used statistical pattern recognition techniques to analyze human fMRI data…”
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Clinical and Research Medical Applications of Artificial Intelligence by Ramkumar, Prem N, Kunze, Kyle N, Haeberle, Heather S, Karnuta, Jaret M, Luu, Bryan C, Nwachukwu, Benedict U, Williams, Riley J

“… AI-based computational algorithms analyze "training sets" using pattern recognition and learning from inputted data to classify and predict outputs that otherwise could not be effectively analyzed…”
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Machine learning algorithm validation with a limited sample size by Vabalas, Andrius, Gowen, Emma, Poliakoff, Ellen, Casson, Alexander J.

“… number of samples because of the intrinsic high cost of data collection involving human participants…”
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Shoulder muscle activation pattern recognition based on sEMG and machine learning algorithms by Jiang, Yongyu, Chen, Christine, Zhang, Xiaodong, Chen, Chaoyang, Zhou, Yang, Ni, Guoxin, Muh, Stephanie, Lemos, Stephen

“…•Results demonstrated multiple channel EMG signal processing using CNN algorithms is a highly effective methods for motion pattern recognition…”
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Human Action Recognition and Prediction: A Survey by Kong, Yu, Fu, Yun

“… Vision-based action recognition and prediction from videos are such tasks, where action recognition is to infer human actions (present state…”
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Face recognition accuracy of forensic examiners, superrecognizers, and face recognition algorithms by Phillips, P Jonathon, Yates, Amy N, Hu, Ying, Hahn, Carina A, Noyes, Eilidh, Jackson, Kelsey, Cavazos, Jacqueline G, Jeckeln, Géraldine, Ranjan, Rajeev, Sankaranarayanan, Swami, Chen, Jun-Cheng, Castillo, Carlos D, Chellappa, Rama, White, David, O'Toole, Alice J

“… How can we achieve the most accurate face identification: using people and/or machines working alone or in collaboration…”
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Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition by Stallkamp, J., Schlipsing, M., Salmen, J., Igel, C.

“… For computer systems, however, classifying traffic signs still seems to pose a challenging pattern recognition problem…”
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High-Knee-Flexion Posture Recognition Using Multi-Dimensional Dynamic Time Warping on Inertial Sensor Data by Laudanski, Annemarie F., Küderle, Arne, Kluge, Felix, Eskofier, Bjoern M., Acker, Stacey M.

“…Relating continuously collected inertial data to the activities or postures performed by the sensor wearer requires pattern recognition or machine-learning-based algorithms, accounting…”
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The machine learning algorithm based on decision tree optimization for pattern recognition in track and field sports by Cui, Guomei, Wang, Chuanjun

“…This study aims to solve the problems of insufficient accuracy and low efficiency of the existing methods in sprint pattern recognition to optimize the training and competition strategies of athletes…”
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Robustness to Object Occlusions in Human-Robot Collaborative Assembly Using Compact Prediction Trees by Semeraro, Francesco, Pilato, Giovanni, Cangelosi, Angelo

“… To address these issues, we explored the use of the Compact Prediction Tree as an efficient and explainable machine learning approach for sequential pattern recognition…”
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Hand Gesture Recognition in Automotive Human–Machine Interaction Using Depth Cameras by Zengeler, Nico, Kopinski, Thomas, Handmann, Uwe

“…In this review, we describe current Machine Learning approaches to hand gesture recognition with depth data from time-of-flight sensors…”
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