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Hidden Markov Model (HMM)

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Hidden Markov Model (HMM)  VIDEO LINK:  https://youtu.be/YIGCWNG8BIA A Hidden Markov Model (HMM) is a statistical model in which the system has hidden states that cannot be directly observed, but produce observable outputs. It is based on the Markov property, meaning the next state depends only on the current state. Video Chapters: HMM in Artificial Intelligence 00:00 Introduction 00:31 Statistical Model 00:54 HMM Examples 02:30 HMM 03:10 HMM Components 05:23 Viterbi Algorithm 06:23 HMM Applications 06:38 HMM Problems 07:28 HMM in Handwriting Recognition 11:20 Conclusion  HMM COMPONENTS A Hidden Markov Model (HMM) is a statistical model in which the system has hidden states that cannot be directly observed, but produce observable outputs. It is based on the Markov property, meaning the next state depends only on the current state. An HMM consists of states, observations, transition probabilities, emission probabilities, and initial probabilities. It is commonly used in a...
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MATLAB Code for Nose Detection

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Face Detection Systems are used for the identification of a person from digital images. The face detection system can extract the different facial features from a digital image. A set of facial features extracted from a digital image includes eyes, nose, mouth and face region. Face recognition is a difficult task due to the different facial expressions. With the help of a face detection system presence of a human face can be detected easily. For the detection of different facial features, the Viola-Jones algorithm is used in the proposed work. To make the task more manageable, Viola-Jones requires full view frontal upright faces. Watch Video:    Nose Detection Facial FEATURES: In any recognition system, the selection of feature extraction plays a vital role. There are a lot of feature extraction techniques proposed efficiency of the proposed system is not acceptable due to the lack of appropriate feature selection. MATLAB CODE: -
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Detect Facial Feature using MATLAB

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Face Detection Systems are used for the identification of a person from digital images. The face detection system can extract the different facial features from a digital image. A set of facial features extracted from a digital image includes eyes, nose, mouth and face region. Face recognition is a difficult task due to the different facial expressions. With the help of a face detection system presence of a human face can be detected easily. For the detection of different facial features, the Viola-Jones algorithm is used in the proposed work. To make the task more manageable, Viola-Jones requires full view frontal upright faces. Using this Matlab code you can: - Create your own face detection system - It is is easy and simple to understand. Book : Face and facial Expression Recognition MATLAB CODE FOR FACIAL FEATURE DETECTION How to Detect Facial Feature using Matlab The Algorithm used for face detection is the Viola-Jones algorithm. Different models are available...
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Coronavirus vs Human Respiratory system

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Coronavirus  Coronavirus disease 2019 (COVID-19) is a new disease. This virus is a major problem. Coronaviruses are named for the crown-like spikes on their surface. Coronavirus disease (COVID-19) is an infectious disease caused by a new virus. The disease causes respiratory illness (like the flu) with symptoms such as a cough, fever, and in more severe cases, difficulty breathing.  What is Coronavirus?                            Coronaviruses (CoV) are a large family of viruses. How does the Virus works?   viruses work by getting inside the cells your body is made of and then hijacking them. How Do Coronavirus works?        It first infects the cells lining your throat, airways, and lungs and turns them into coronavirus factories.  Different Types of Cells in the Human Body include. Stem cell, bone cell, blood cell, skin cell, muscle cell, sex cell, c...
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