YOLO-Based Abnormal Behavior Detection System for Elderly Healthcare Monitoring
Objective
The objective of this system is to use YOLO-based computer vision to accurately detect abnormal behaviors in elderly individuals. It ensures timely alerts for caregivers, promoting safety and continuous healthcare monitoring.
Abstract
This project presents a YOLOv8-based abnormal behavior detection system for elderly healthcare monitoring using Raspberry Pi, a web camera, SpO2 sensor, heartbeat sensor, temperature sensor, ADC module, and buzzer. The system continuously monitors the elderly person's activities and vital signs in real time. The web camera, combined with the YOLOv8 model, detects abnormal behaviors such as falls, unusual movements, and prolonged inactivity, while the sensors monitor health parameters including heart rate, oxygen saturation, and body temperature. When abnormal conditions are detected, the buzzer generates an alert for immediate assistance. The proposed system provides a low-cost, intelligent, and real-time solution for improving elderly safety and healthcare monitoring.
Keywords: YOLOv8, Elderly Healthcare Monitoring, Raspberry Pi, Abnormal Behavior Detection, SpO2 Sensor.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Block Diagram
Specifications
Hardware components:
- Raspberry pi
- Memory card
- USB web camera
- ADC MCP 3008
- SPO2 Sensor
- Heart Beat Sensor
- Temperature Sensor
- LCD
- Buzzer
- Connectors-10.
Software requirements:
- Raspbian os
- Python
Learning Outcomes
- Raspberry pi pin diagram and architecture
- How to install Raspberrypi / setup software
- Setting up and installation procedure for Raspberrypi
- Introduction to Raspberrypi environment / development setup
- Basic programming in Raspberrypi (Python)
- Basics of Embedded programming using Raspberrypi
- Basics of IoT platforms
- Working of power supply
- About Project Development Life Cycle:
- Planning and Requirement Gathering (software, tools, hardware components, etc.)
- Schematic preparation
- Code development and debugging
- Hardware development and debugging
- Development of the project and output testing
- Practical exposure to:
- Hardware and software tools
- Solution providing for real-time problems
- Working with team/individual
- Work on creative ideas
- Skills developed:
- Project development skills
- Problem analyzing skills
- Problem solving skills
- Creativity and imaginative skills
- Programming skills
- Deployment
- Testing skills
- Debugging skills
- Project presentation skills
- Thesis writing skills
Paper Publishing
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6-2-85/B, Old Maternity Hospital Road, Thyagaraja Nagar, Tirupati, Andhra Pradesh – 517501
+91 9030333433
+91 9393939065
0877-2261612
Disclaimer - Takeoff Edu Group Projects are not associated or affiliated with IEEE in any way. The IEEE Projects mentioned here are mentioned in the context of student projects, whose ideas are derived from IEEE publications, not projects of or by IEEE.
