Proposal Gesture Recognition Algorithm Combining CNN for Health Monitoring

Huu, Phat Nguyen; Thu, Huong Nguyen

doi:10.1109/nics48868.2019.9023804

Cited by 12 publications

(2 citation statements)

References 14 publications

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“…However, the errors of system are still large due to automation in several cases. Therefore, our next development direction is to optimize the system to reduce errors; combine measurement of other parameters; and predict an increase or decrease in NH3 concentration using CNN to be able to integrate into existing IoT systems [23][24][25].…”

Section: Discussionmentioning

confidence: 99%

Propose an Automatic Ammonia Concentration of Water Measuring System Combining Image Processing for Aquaculture

Huu¹,

Duc²

2021

JESA

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The underwater environmental monitoring system applying IoT is now developing for 4.0 industry. It helps not only to simplify work but also to increase efﬁciency and reduce costs and execution time as well as ensure health to avoid contact with toxic solutions. In this paper, we first model the process of measuring NH3 concentration manually to automate. Secondly, the proposed model is combined with the process of processing output image automatically and displaying the results on the server. Thirdly, the system is able to measure the concentration by VNC viewer connecting with Raspberry pi4 via WiFi. The result of the NH3 concentration parameter is sent to users quickly to alert promptly when it reaches a dangerous threshold. Experiments show that the system not only ensures fast processing time (less than 5 minutes) but also improves accuracy (up to 80%) comparing with real devices.

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Section: Discussionmentioning

confidence: 99%

Propose an Automatic Ammonia Concentration of Water Measuring System Combining Image Processing for Aquaculture

Huu¹,

Duc²

2021

JESA

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“…Many interactive applications between humans and computers or humans and robots or recently control electronic devices are widely studied. It allows computer systems to assist users for improving their lives and healthcare [1][2][3]. Two main methods for deploying the system are surveillance and wearable devices [4].…”

Section: Introductionmentioning

confidence: 99%

Proposing a Recognition System of Gestures Using MobilenetV2 Combining Single Shot Detector Network for Smart-Home Applications

Huu

Thu

Minh

2021

Journal of Electrical and Computer Engineering

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The paper proposes a system for identifying gestures and actions in smart homes. The proposed method is based on MobilenetV2 feature extraction combining with single shot detector (SSD) network. We used eleven types of gestures of walking, sitting down, falling back, wearing shoes, waving hands, falling down, smoking, baby crawling, standing up, reading, and typing for recognizing the gestures. In this system, the data are captured from the camera of mobile devices that are used to detect the object. The results are obtained objects on the frame by a bounding box. The results show that the system meets the requirements with an accuracy of over 90% that is suitable for real application.

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Proposal System for Monitoring Parameters in an Industrial Incubator Incorporating SVM Model to Detect Diseased Chickens

Huu

2021

Intelligent Systems and Networks

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Proposal Gesture Recognition Algorithm Combining CNN for Health Monitoring

Cited by 12 publications

References 14 publications

Propose an Automatic Ammonia Concentration of Water Measuring System Combining Image Processing for Aquaculture

Propose an Automatic Ammonia Concentration of Water Measuring System Combining Image Processing for Aquaculture

Proposing a Recognition System of Gestures Using MobilenetV2 Combining Single Shot Detector Network for Smart-Home Applications

Proposal System for Monitoring Parameters in an Industrial Incubator Incorporating SVM Model to Detect Diseased Chickens

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