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Next-Generation Human Activity Recognition Using Locality Constrained Linear Coding Combined With Machine Learning (NG-HAR-LCML)

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Healthcare technology Letters 2025年第1期12卷

作者： Maryam Shabbir Fahad Ahmad Saad Awadh Alanazi Muhammad Hassan Khan Jianqiang Li Tariq Mahmood Shahid Naseem Muhammad Anwar Department of Computer Sciences Bahria University Lahore Punjab Pakistan Department of Computer Science Faculty of Computing & Information Technology University of the Punjab Lahore Pakistan School of Computing Faculty of Technology University of Portsmouth Portsmouth UK Portsmouth Artificial Intelligence and Data Science Centre (PAIDS) University of Portsmouth Portsmouth UK Department of Computer Science College of Computer and Information Sciences Jouf University Sakaka Aljouf Saudi Arabia The School of Software Engineering Beijing University of Technology Beijing China Artificial Intelligence and Data Analytics (AIDA) Lab CCIS Prince Sultan University Riyadh Saudi Arabia Department of Information Sciences University of Education Vehari Pakistan Faculty of Information Sciences Division Science &Technology University of Education Lahore Pakistan

Accurate Human Activity Recognition (HAR) is a critical challenge with wide-ranging applications in healthcare, assistive technologies, and human-computer interaction. Traditional feature extraction methods often struggle to capture the complex spatial and temporal dynamics of human movements, leading to suboptimal classification performance. To address this limitation, this study introduces a novel encoding approach using Locality-Constrained Linear Coding (LLC) to enhance the discriminative power of hand-crafted features extracted from low-cost wearable sensors—an accelerometer and a gyroscope. The proposed LLC-based encoding scheme enables robust feature representation, improving the accuracy of HAR models. The encoded features are classified using a diverse set of Machine Learning (ML) and Deep Learning (DL) algorithms, including Support Vector Machine (SVM), Logistic Regression (LR), Naive Bayes (NB), K-Nearest Neighbours (KNN), AdaBoost, Gradient Boosting Machine (GBM), and Deep Belief Network (DBN). Extensive quantitative evaluations demonstrate that LLC significantly outperforms conventional feature encoding techniques, leading to improved classification accuracy. Among the tested models, DBN achieves a state-of-the-art accuracy of 99%, highlighting its superiority for HAR tasks. The contributions of this research are threefold: (1) it establishes the necessity of an advanced encoding scheme (LLC) for feature enhancement in HAR, (2) it provides a rigorous comparative analysis of multiple ML and DL classifiers, and (3) it introduces a scalable and cost-effective HAR framework suitable for real-world applications. Performance is comprehensively assessed using robust evaluation metrics such as Area Under the Curve (AUC), Classification Accuracy (CA), F1 Score, Precision, Recall, and Matthews Correlation Coefficient (MCC). The findings of this study offer new insights into feature encoding for HAR, setting a foundation for future advancements in sensor-based act

关键词： feature encoding human activity recognition locality constrained linear coding support vector machine wearable sensors

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A code-based 1-out-of-N oblivious transfer based on McEliece assumptions

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8th International Conference on Information Security Practice and Experience, ISPEC 2012

作者： Preetha, Mathew K. Vasant, Sachin Venkatesan, Sridhar Pandu Rangan, C. Theoretical Computer Science Lab. Department of Computer Science and Engineering Indian Institute of Technology Madras India Department of Mathematics and Computer Applications PSG College of Technology Coimbatore India

ISBN: (纸本)9783642291005

In this paper, we propose an efficient code-based 1-out-of-N oblivious transfer, OT1N, based on McEliece assumptions without invoking the OT12 several times as in the paradigm proposed in [20,6]. We also show that the protocol is computationally secure against passive and active adversaries. To our knowledge, this is the first practical code-based OT1N protocol. The proposed protocol is compared with some existing number-theoretic OT1N protocols for efficiency. Also, the passively secure 1-out-of-2 OT protocol proposed by Dowsley et al. [10] is reviewed. A formal argument of the computational security of the protocol against active adversaries is furnished. © 2012 Springer-Verlag.

关键词： Codes (symbols)

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An efficient IND-CCA2 secure variant of the Niederreiter encryption scheme in the standard model

An efficient IND-CCA2 secure variant of the Niederreiter enc...

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17th Australasian Conference on Information Security and Privacy, ACISP 2012

作者： Preetha Mathew, K. Vasant, Sachin Venkatesan, Sridhar Pandu Rangan, C. Theoretical Computer Science Lab. Department of Computer Science and Engineering Indian Institute of Technology Madras India Department of Mathematics and Computer Applications PSG College of Technology Coimbatore India

ISBN: (纸本)9783642314476

In this paper, we propose an IND-CCA2 secure code based encryption scheme in the standard model, built on the Niederreiter encryption scheme. The security of the scheme is based on the hardness of the Syndrome Decoding problem and the Goppa Code Distinguishability problem. The system is developed according to the construction similar to IND-CCA2 secure encryption scheme by Peikert and Waters using the lossy trapdoor functions. Compared to the existing IND-CCA2 secure variants due to Dowsley ***. and Freeman et. al. (using the κ repetition paradigm initiated by Rosen and Segev), our scheme is more efficient as it avoids κ repetitions. This can be considered as the first practical code-based encryption scheme that is IND-CCA2 secure in the standard model. © 2012 Springer-Verlag.

关键词： Cryptography

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On the security of two ring signcryption schemes

On the security of two ring signcryption schemes

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SECRYPT 2009 - International Conference on Security and Cryptography

作者： Sree Vive, S. Sharmila Deva Selvi, S. Pandu Rangan, C. Theorectical Computer Science Lab. Department of Computer Science Indian Institute of Technology Madras Chennai-600036 India

ISBN: (纸本)9789896740054

Ring signcryption is a cryptographic primitive, that allows an user to send a message in confidential, authentic and anonymous way, i.e. the recipient of the message is convinced that the message is valid and it comes from one of the ring member, but does not know the actual sender. In this paper, we show attacks on ring signcryption schemes by Li et al. (Li et al., 2008b) and Chung et al. (Chung et al., 2006). We demonstrate anonymity and confidentiality attack on the scheme by Li et al. (Li et al., 2008b) and confidentiality attack on the scheme by Chung et al. (Chung et al., 2006).

关键词： Public key cryptography

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Strongly secure password based blind signature for real world applications

Strongly secure password based blind signature for real worl...

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作者： Jose, Sangeetha Mathew K., Preetha Rangan, C. Pandu Theoretical Computer Science Lab at Indian Institute of Technology Madras Poland Department of Computer Science and Engineering at Indian Institute of Technology Madras Poland

Digital signature is the cryptographic primitive that ensures authentication and nonrepudiation. A password based blind signature can be used in the scenarios, where the participation of both the signer and the user are required. The user requires the authentication of the signer without revealing the message to the signer. This requirement is needed for real world applications such as client server applications in the banking scenario. As per our knowledge, the first password based blind short signature was constructed by Sangeetha et al. in CECC 2013 which ensures the properties unforgeability, blindness and unframeability. But if the password size is very small, it may be susceptible to off-line password guessing attack. In this paper we propose a strongly secure password based blind short signature which solves the off-line password guessing attack. The formal proof of the scheme is reduced to computational Diffie- Hellman(CDH) assumption.

关键词： Authentication

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On the security of two ring signcryption schemes

On the security of two ring signcryption schemes

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ICETE 2009 - International Joint Conference on e-Business and Telecommunications

作者： Vivek, S. Sree Deva Selvi, S. Sharmila Rangan, C. Pandu Theorectical Computer Science Lab. Department of Computer Science Indian Institute of Technology Madras Chennai-600036 India

关键词： Public key cryptography

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A Neuro-Fuzzy Approach to Road Traffic Congestion Prediction

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computers, Materials & Continua 2022年第10期73卷 295-310页

作者： Mohammed Gollapalli Atta-ur-Rahman Dhiaa Musleh Nehad Ibrahim Muhammad Adnan Khan Sagheer Abbas Ayesha Atta Muhammad Aftab Khan Mehwash Farooqui Tahir Iqbal Mohammed Salih Ahmed Mohammed Imran BAhmed Dakheel Almoqbil Majd Nabeel Abdullah Omer Department of Computer Information System(CIS) College of Computer Science and Information Technology(CCSIT)Imam Abdulrahman Bin Faisal UniversityDammam31441Saudi Arabia Department of Computer Science(CS) College of Computer Science and Information Technology(CCSIT)Imam Abdulrahman Bin Faisal UniversityDammam31441Saudi Arabia Pattern Recognition and Machine Learning Lab Department of Software EngineeringGachon UniversityInchonKorea Department of Computer Science National College of Business Administration and EconomicsLahorePunjab54000Pakistan Department of Computer Science Government College University(GCU)LahorePunjab54000Pakistan Department of Computer Engineering(CE) College of Computer Science and Information Technology(CCSIT)Imam Abdulrahman Bin Faisal UniversityDammam31441Saudi Arabia College of Business Administration Imam Abdulrahman Bin Faisal UniversityDammam31441Saudi Arabia Department of Networks and Communications(NC) College of Computer Science and Information Technology(CCSIT)Imam Abdulrahman Bin Faisal UniversityDammam31441Saudi Arabia

The fast-paced growth of artificial intelligence applications provides unparalleled opportunities to improve the efficiency of various *** as the transportation sector faces many obstacles following the implementation and integration of different vehicular and environmental aspects *** congestion is among the major issues in this regard which demands serious attention due to the rapid growth in the number of vehicles on the *** address this overwhelming problem,in this article,a cloudbased intelligent road traffic congestion prediction model is proposed that is empowered with a hybrid Neuro-Fuzzy *** aim of the study is to reduce the delay in the queues,the vehicles experience at different road junctions across the *** proposed model also intended to help the automated traffic control systems by minimizing the congestion particularly in a smart city environment where observational data is obtained from various implanted Internet of Things(IoT)sensors across the *** due preprocessing over the cloud server,the proposed approach makes use of this data by incorporating the neuro-fuzzy ***,it possesses a high level of accuracy by means of intelligent decision making with minimum error *** results reveal the accuracy of the proposed model as 98.72%during the validation phase in contrast to the highest accuracies achieved by state-of-the-art techniques in the literature such as 90.6%,95.84%,97.56%and 98.03%,*** far as the training phase analysis is concerned,the proposed scheme exhibits 99.214% accuracy. The proposed prediction modelis a potential contribution towards smart cities environment.

关键词： Neuro-fuzzy machine learning congestion prediction AI cloud computing smart cities

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Preface

Lecture Notes in Networks and Systems

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Lecture Notes in Networks and Systems 2025年 1241卷 xiii-xiv页

作者： Srujan Raju, K. Senkerik, Roman Kishore Kumar, T. Sellathurai, Mathini Kumar, Voruganti Naresh CMR Technical Campus Telangana Hyderabad India AI Lab Tomas Bata University Zlín Czech Republic Department of Computer Science and Engineering National Institute of Technology Telangana Warangal India Heriot-Watt University Edinburgh United Kingdom Department of Computer Science and Engineering CMR Technical Campus Telangana Hyderabad India

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Cognitive Skill Enhancement System Using Neuro-Feedback for ADHD Patients

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computers, Materials & Continua 2021年第8期68卷 2363-2376页

作者： Muhammad Usman Ghani Khan Zubaira Naz Javeria Khan Tanzila Saba Ibrahim Abunadi Amjad Rehman Usman Tariq Al-khawarizmi Institute of Computer Science University of Engineering and TechnologyLahore54890Pakistan Department of Computer Science University of Engineering and TechnologyLahore54890Pakistan Artificial Intelligence and Data Analytics Lab CCIS Prince Sultan UniversityRiyadhSaudi Arabia College of Computer Engineering and Science Prince Sattam bin Abdulaziz UniversityAlkharjSaudi Arabia

The National Health Interview Survey(NHIS)shows that there are 13.2%of children at the age of 11 to 17 who are suffering from Attention Deficit Hyperactivity Disorder(ADHD),*** treatment methods for ADHD are either psycho-stimulant medications or cognitive *** traditional methods,namely therapy,need a large number of visits to hospitals and include *** could be used for the effective treatment of *** could be a helpful tool in improving children and ADHD patients’cognitive skills by using Brain–computer Interfaces(BCI).BCI enables the user to interact with the computer through brain activity using Electroencephalography(EEG),which can be used to control different computer applications by processing acquired brain *** paper proposes a system based on neurofeedback that can improve cognitive skills such as attention level,mediation level,and spatial *** proposed system consists of a puzzle game where its complexity increases with each *** signals were acquired using the Neurosky headset;then sent the signals to the designed gaming *** neurofeedback system was tested on 10 different subjects,and their performance was calculated using different evaluation *** results show that this game improves player overall performance from 74%to 98%by playing each game level.

关键词： Neurogaming brain-computer interface attention deficit hyperactivity disorder electroencephalography spatial memory cognitive skills attention level

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Adaptive scheduling for shared window joins over data streams

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中国高等学校学术文摘·计算机科学 2007年第4期1卷 468-477页

作者： JIN Cheqing ZHOU Aoying Jeffrey Xu Yu Joshua Zhexue Huang CAO Feng Department of Computer Science and Engineering East China University of Science and TechnologyShanghai 200237China Department of Computer Science and Engineering Fudan UniversityShanghai 200433China Department of Systems Engineering and Engineering Management The Chinese University of Hong KongChina E-Business Technology Institute The University of ttong KongChina IBM China-Research Lab Beijing 100094China

Recently a few Continuous Query systems have been developed to cope with applications involving continuous data *** the same time,numerous algorithms are proposed for better performance.A recent work on this subject was to define scheduling strategies on shared window joins over data streams from multiple query *** these strategies,a tuple with the highest priority is selected to process from multiple ***,the performance of these static strategies is deeply influenced when data are bursting,because the priority is determined only by static information,such as the query windows,arriving order,*** this paper,we propose a novel adaptive strategy where the priority of a tuple is integrated with realtime information.A thorough experimental evaluation has demonstrated that this new strategy can outperform the existing strategies.

关键词： data streams continuous query shared window joins

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