A novel design of an intangible hand gesture controlled computer mouse using vision based image processing

Titlee, Rokhsana; Rahman, Asif; Zaman, Hasan U.; Rahman, Hafiz Abdur

doi:10.1109/eict.2017.8275171

Cited by 8 publications

(5 citation statements)

References 5 publications

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“…The features are based on shape, color, and size (Sapna and Renuka, 2017). It extracts some important information of the object of interest (Titlee et al, 2017).…”

Section: Feature Extractionmentioning

confidence: 99%

“…M 10 is the measure of first order moment at x-axis (Pradhan and Deepak, 2016;Titlee et al, 2017;Schoeffmann et al, 2006;Adams et al, 2018).…”

Section: ) Calculating the Feature Vectormentioning

confidence: 99%

“…M 01 is the measure of first order moment at y-axis (Pradhan and Deepak, 2016;Titlee et al, 2017;Schoeffmann et al, 2006;Adams et al, 2018). M 20 is the measure of second order moment at x-axis (Adams et al, 2018;Schoeffmann et al, 2006).…”

Section: ) Calculating the Feature Vectormentioning

confidence: 99%

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Symptom-Based Identification of G-4 Chili Leaf Diseases Based on Rotation Invariant

2021

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Instinctive detection of infections by carefully inspecting the signs on the plant leaves is an easier and economic way to diagnose different plant leaf diseases. This defines a way in which symptoms of diseased plants are detected utilizing the concept of feature learning (Sulistyo et al., 2020). The physical method of detecting and analyzing diseases takes a lot of time and has chances of making many errors (Sulistyo et al., 2020). So a method has been developed to identify the symptoms by just acquiring the chili plant leaf image. The methodology used involves image database, extracting the region of interest, training and testing images, symptoms/features extraction of the plant image using moments, building of the symptom vector feature dataset, and finding the correlation and similarity between different symptoms of the plant (Sulistyo et al., 2020). This will detect different diseases of the plant.

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“…The features are based on shape, color, and size (Sapna and Renuka, 2017). It extracts some important information of the object of interest (Titlee et al, 2017).…”

Section: Feature Extractionmentioning

confidence: 99%

“…M 10 is the measure of first order moment at x-axis (Pradhan and Deepak, 2016;Titlee et al, 2017;Schoeffmann et al, 2006;Adams et al, 2018).…”

Section: ) Calculating the Feature Vectormentioning

confidence: 99%

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Symptom-Based Identification of G-4 Chili Leaf Diseases Based on Rotation Invariant

2021

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“…Titlee et al introduced a technique for controlling the mouse utilizing skin variety division. The framework was executed in MATLAB and depended on a procedure that portioned skin tone to control mouse developments[7]. The technique expected the client to wear a cumbersome information glove which was badly arranged and made it hard to perform certain motions.…”

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confidence: 99%

Virtual Mouse using Hand Gesture Recognition

et al. 2024

IJFMR

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This paper presents a framework for controlling a PC's mouse cursor through hand motions, making a virtual mouse, this method of laying out a course of collaboration among human and PC is developing since the creation of PC innovation. This uses PC vision and motion acknowledgment procedures to follow and decipher the developments of a client's hand. By recognizing predefined hand motions, the client will be permitted to control a portion of the PC cursor capabilities with their hands. The framework makes an interpretation of these motions into comparing mouse activities, like cursor development, clicking, and looking over. This innovation offers a novel and natural way to deal with human-PC cooperation, possibly improving client experience in applications going from gaming to openness. The proposed framework will just require a webcam as an info gadget. The product's that will be expected to execute the proposed framework carried out in Python utilizing OpenCV and PyAutoGUI. The user will be able to further calibrate the camera by viewing its output on the system's screen.

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“…Titlee et al [2017]. The Python module called OpenCV is a library of programming functions, mostly focused on computer vision in real time.…”

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confidence: 99%

Untitled

2022

3C Tecnología

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A novel design of an intangible hand gesture controlled computer mouse using vision based image processing

Cited by 8 publications

References 5 publications

Symptom-Based Identification of G-4 Chili Leaf Diseases Based on Rotation Invariant

Symptom-Based Identification of G-4 Chili Leaf Diseases Based on Rotation Invariant

Virtual Mouse using Hand Gesture Recognition

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