Being Healthy at workplace using Mood Monitoring and suggestion system

We observed that the employees of private sectors / universities like Sukkur IBA University feel stress at workplace, causing various health issues and thus the bad performing attitude among employees as a result. To address this problem, we are proposing a mood monitoring and suggesting syst

2025-06-28 16:30:37 - Adil Khan

Project Title

Being Healthy at workplace using Mood Monitoring and suggestion system

Project Area of Specialization Artificial IntelligenceProject Summary

We observed that the employees of private sectors / universities like Sukkur IBA University feel stress at workplace, causing various health issues and thus the bad performing attitude among employees as a result.

To address this problem, we are proposing a mood monitoring and suggesting system which will continuously extract the facial gestures using image processing and heartbeat using wristwatch. It will identify the mood using data mining techniques and analyze potential effects of mood swing on user’s health. It also suggests the user some appropriate meatus. According to the mood swing, it will maintain a history and generate statistics locally on the employees’ computer. If the employees’ mood is continuously labelled bad for instance, the system continuously records the anger based on the facial gestures, then the system will prompt a health tip like go for a walk, take a short nap etc.

It will also maintain the history and statistics of the mood swings of all users at server and will help the organization to identify the factors that badly affect the employee’s work. In this way, the organization would distribute the proper workload among the employees. The employees can also keep themselves healthy following the mental therapy prompt on their screen.

This project hits different domains, specifically Data Mining, Image Processing, web engineering, and Database management systems.

Project Objectives Project Implementation Method

This system is the combination of both, software and hardware. In hardware implementation, there will be a camera attached to the monitor screen of the employee to monitor the facial gestures continuously. Furthermore, there will be a wrist band to identify the heartbeat of an employee. Wristband will be connected to the computer wirelessly and will send the heartbeat rate to the system. This combination will help the system to produce the better and accurate results.

On the software side the system will be implemented via using .NET Framework (C# language) and at the back end python language will be used. Python language will help in order to process the image (monitored by front camera of the system / monitor screen) to identify the facial gestures and mood labeling. It will maintain the mood swings statistics at the local end. It will prompt the user if the software records the continuously below average performance of your mood and suggests mental or physical therapy.

Mood Monitoring and Suggestion System - MMSS architecture will be based on MVC (Model View Controller) pattern with centralized database (all the users’ data will be kept safe in the main database).

Benefits of the Project Technical Details of Final Deliverable

The final deliverable of our project will be a combination of hardware and software including webcam, wristband for heart beat tracing. At last the System will be in a complete occupied formation.

The System will be accompanied the following hardware components:

All in all, this project will produce the hardware and software based complete system that will need a normal installation like any other application software.

Final Deliverable of the Project HW/SW integrated systemCore Industry HealthOther Industries IT Core Technology Artificial Intelligence(AI)Other TechnologiesSustainable Development Goals Good Health and Well-Being for PeopleRequired Resources
Item Name Type No. of Units Per Unit Cost (in Rs) Total (in Rs)
Total in (Rs) 79590
Polar FT4 Heart Rate Monitor Equipment23017760353
Desktop Webcam, HD 1080p Equipment246199237
Miscellaneous Items Miscellaneous 11000010000

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