The objective of this project is to provide healthcare facilities with a tool to monitor physical activities of patients.
The first part of the project concerns activity recognition based on artificial intelligence techniques and the second part is related to visualization of the activity level variations during a time duration.
We consider two types of physical activities: (running and walking). The activity recognition is based on the built-in sensors of a smart phone including accelerometer and GPS sensors to acquire contextual data. After data acquisition phase, the data analysis phase follows to detect activity based on artificial intelligence techniques including machine learning and neural networks. The third phase will be training and testing data and extracting analytical results. After detecting the type of the activity, it is required to measure its amount and the average speed (running , walking).
The second part of the project is the data visualization. It is required to visually display the analytical results related to several statistics about patient activities.
I've already got a working model that can predict human activity by extracting local features within each sensor(IMU, GPS) modality along with their sequential temporal dependencies with over 97% accuracy. Your work is Plus
11 freelance font une offre moyenne de $204 pour ce travail
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Hi I am a very experienced biostatistician, medical data scientist and academic writer. I have completed several PhD level thesis projects involving advanced statistical analysis of data. I have worked with data from s Plus
Hello, Dear Employer! I can do this work. Individual and hard working person done your work accurately. Waiting your response. Always I do my best & fast with on time delivery for my all clients. Please tell me w Plus
We have 11+ years of experience in software development. We have developed 400+ projects and the research paper in the field of Machine Learning, Artificial Intelligence and Image processing (GIS), Network, SEO based W Plus
Hi, I am an expert in activity recognition. I recognized running and walking previously. I can do your project perfectly. Thanks.
Hello, I have worked on activity recognition using a combination of CNN and RNN. My background: I have 2.5+ years of experience in machine learning and deep learning. I have worked on GANs, CNNs, RNNs, LSTMs, and o Plus
Hi, Hope you doing well.I read your activity recognition and visualization based project description and very confident to handle this project perfectly Let's have a discussion, negotiate costing, timeline and then Plus
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Hi , I am a data scientist with 3+ years working experienced. I have worked on many projects including object detection, facial recognition. Image classification and identification of disease in the leaves of the toma Plus