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UNIVERSITY OF NAIROBIMASTERS IN COMPUTER SCIENCE MSC PROJECT DOCUMENTATIONHUMAN POSTURE RECOGNITION AND GOOD POSTURE RECOMMENDATION Submitted in Partial fulfillment Of the Requirements for the Master’s

How to fill out human posture recognition and

How to fill out human posture recognition and

1. To fill out human posture recognition, follow these steps:
2. First, gather a dataset of images or videos that show various human postures.
3. Preprocess the data by resizing the images and normalizing the pixel values.
4. Split the dataset into training and testing sets, ensuring that both sets have a diverse range of postures.
5. Choose a suitable machine learning algorithm for posture recognition, such as Convolutional Neural Networks (CNN).
6. Train the model using the training dataset, adjusting hyperparameters as needed.
7. Evaluate the performance of the model using the testing dataset, measuring metrics like accuracy and precision.
8. If the model's performance is satisfactory, you can use it for human posture recognition by providing new images or videos and obtaining predictions.
9. For real-time applications, you can deploy the model on a device or server and integrate it into your desired system.

Who needs human posture recognition and?

1. Various industries and fields can benefit from human posture recognition, including:
2. - Healthcare: Posture recognition can assist in monitoring patients' posture to prevent injuries or assess rehabilitation progress.
3. - Ergonomics: Manufacturers and designers can use posture recognition to evaluate ergonomic solutions and improve workplace safety.
4. - Sports and fitness: Coaches, trainers, and athletes can analyze postures to improve performance, prevent injuries, and optimize training techniques.
5. - Computer vision research: Researchers may develop new algorithms and techniques for human pose estimation and understanding.
6. - Security: Posture recognition can be used for surveillance systems, access control, or identifying suspicious activities.
7. - Virtual reality and gaming: Posture recognition enables more immersive and interactive experiences in virtual environments and gaming.
8. - Robotics: Robots equipped with posture recognition can interact more effectively with humans and perform tasks requiring human-like movements.

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