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Activity recognition and visualization based on AI and smart phone

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 be 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.

1. Visual representation of activity levels for each patient on the screen of his smart phone.

2. Visual dashboard on a PC of a caregiver to monitor the variations of activity levels for each patient.


1. The code and a readme file that explains how to compile and run the code.

2. A short report (3 pages max) that explains the theory behind the work and shows how the application works

Kemahiran: Algoritma, Pengaturcaraan C++, Java, Pembelajaran Mesin, Python

Lihat lagi: human activity recognition, human activity recognition dataset, activity recognition deep learning, lrcn tensorflow, smartphone dataset, human activity recognition keras, a public domain dataset for human activity recognition using smartphones, web based java sip phone, web based dialer sip phone, cheap smart phone barcode, web based patient scheduler phone messages, barcode smart phone, smart phone scanner, smart phone barcode, image recognition smart phone, smart intelligent works, smart phone scan, plash based voip sip phone, smart phone good bar code reader, smart phone barcode scanner

Tentang Majikan:
( 0 ulasan ) Canada

ID Projek: #17512142

Dianugerahkan kepada:

$222 USD dalam 12 hari
(0 Ulasan)