Computer vision based fatigue detection using facial parameters

Balasundaram, A.; Ashokkumar, S.; Kothandaraman, Divya; kora, SeenaNaik; Sudarshan, E. C. G.; Harshaverdhan, A.

doi:10.1088/1757-899x/981/2/022005

Cited by 32 publications

(4 citation statements)

References 18 publications

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“…There are numerous algorithms [18] that are developed for face detection such as the Viola-Jones algorithm [19], Haar Cascade Classifier [20], customized CNNs [21] and OpenCV libraries [22], etc. "Viola-Jones algorithm" is one of the most widely used face recognition algorithms that still outperforms most of the other algorithms.…”

Section: Detection and Extraction Of Facementioning

confidence: 99%

Deep Learning Based Face Detection and Identification of Criminal Suspects

Sandhya¹,

Balasundaram²,

Shaik³

2023

Computers, Materials &Amp; Continua

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Occurrence of crimes has been on the constant rise despite the emerging discoveries and advancements in the technological field in the past decade. One of the most tedious tasks is to track a suspect once a crime is committed. As most of the crimes are committed by individuals who have a history of felonies, it is essential for a monitoring system that does not just detect the person's face who has committed the crime, but also their identity. Hence, a smart criminal detection and identification system that makes use of the OpenCV Deep Neural Network (DNN) model which employs a Single Shot Multibox Detector for detection of face and an auto-encoder model in which the encoder part is used for matching the captured facial images with the criminals has been proposed. After detection and extraction of the face in the image by face cropping, the captured face is then compared with the images in the Criminal Database. The comparison is performed by calculating the similarity value between each pair of images that are obtained by using the Cosine Similarity metric. After plotting the values in a graph to find the threshold value, we conclude that the confidence rate of the encoder model is 0.75 and above.

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Section: Detection and Extraction Of Facementioning

confidence: 99%

Deep Learning Based Face Detection and Identification of Criminal Suspects

Sandhya¹,

Balasundaram²,

Shaik³

2023

Computers, Materials &Amp; Continua

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“…Then, the area of CA is 2r •V * • Δt. Applying the same logic over all starting positions of IoT node, i is given by (10).…”

Section: Exponential Arrival Time λ Of Iot Meeting Nodesmentioning

confidence: 99%

“…This present work has addressed this main issue by introducing a packet delay while transferring a packet from node i to node j IoT node. Potential links make use of intermediary mobile IoT nodes [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Decentralized Link Failure Prevention Routing (DLFPR) Algorithm for Efficient Internet of Things

Kothandaraman¹,

Manickam²,

Balasundaram³

et al. 2022

Intelligent Automation &Amp; Soft Computing

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This work implements a Decentralized Links Failure Prevention (DLFP) routing algorithm to promote enhanced and efficient Internet of Things (IoT). The work increases the mobility as well as an opportunity for loss of IoT node meeting links due to both mobility and blockers/interferers. The proposed algorithm overcomes loss issues as well as works in dynamically allocating alternate route from other IoT nodes available in near and selecting for efficient route in the network. When the link fails, bandwidth is reduced and coverage area problems for packets sending from source to destination is managed. The proposed algorithm works with light-weight wireless mesh based route handling techniques. In such case, reduced link failure, removal of route discovery latency, communication cost and control overheads, energy consumptions and network life time are to be handled with care. To address these issues, the proposed algorithm enhances the Packet Delivery Ratio (PDR) as well as transmission packet efficiently received through destination node. The ability of Dynamic Alternate Routing (DAR) to relay node handling capabilities and to improve the communication link availability of IoT nodes has ultimately increased the PDR. Simulation work was done using Network Simulator 3 (NS3) and the results show that the performance is better when compared with existing Dynamic Source Routing (DSR) and Energy Efficient Delay Tolerant Routing (EEDTR) algorithm.

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“…The researches [14]- [18] performed face detection for finding the landmarks on the face which was further used to calculate eye aspect ratio (EAR). Then the eye was classified, based on a fixed EAR threshold, into different states.…”

Section: Introductionmentioning

confidence: 99%

An adaptive system for predicting student attentiveness in online classrooms

Bansal

2023

IJEECS

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The effectiveness of teaching methods is determined by whether a student is attentive in a lecture or not. In face-to-face classroom teaching, a teacher is able to judge whether students are understanding the subject, based on their facial expressions. However, since the uprise of COVID-19 pandemic, virtual classrooms have found a holding in the field of education and detecting attentiveness of students is a challenge in the same. This paper proposes a student attentiveness model that would detect and monitor a student’s eye state to determine their level of attentiveness and provide a real-time feedback mechanism to the teacher. The proposed model employs a histogram of oriented gradient (HOG) method in conjunction with support vector machine (SVM) algorithm for face recognition. It then computes an adaptive eye aspect ratio (AEAR) for each individual student to determine their level of attentiveness. The model is tested on a real-time dataset and validated using classifiers (SVM, decision tree, and random forest). The results of the classifiers verify that the model produces an accuracy of more than 92%.

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Computer vision based fatigue detection using facial parameters

Cited by 32 publications

References 18 publications

Deep Learning Based Face Detection and Identification of Criminal Suspects

Deep Learning Based Face Detection and Identification of Criminal Suspects

Decentralized Link Failure Prevention Routing (DLFPR) Algorithm for Efficient Internet of Things

An adaptive system for predicting student attentiveness in online classrooms

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