Elder Computer Vision Project

Here are a few use cases for this project:

1. Elderly Care Monitoring: This model could be used in aged care or independent living facilities to observe elderly occupants' activities. It can recognize and monitor various poses such as sitting, standing, or lying down, potentially detecting falls or prolonged periods of inactivity.

2. Smart Home Automation: The model could be integrated into smart home systems to adjust settings based on the detected activity. For example, if the model identifies a person sitting on the sofa, it could automatically dim the lights or turn on the TV.

3. Rehabilitation and Physical Therapy: It could be designed to track the progress of elderly patients' physical therapy or rehabilitation. By recognizing different postures, it would be able to determine how well they are recovering or whether they are performing their exercises correctly.

4. Predictive Healthcare Analytics: Using historic data, the model could identify patterns of behavior that may predict health complications such as infarct (ischemic stroke). Health professionals could use this information to intervene early and possibly prevent such incidents.

5. Human Behavior Research: In the field of psychology or gerontology, researchers could use this model to study the daily behaviors and patterns of elderly individuals. Recognizing and cataloging these behaviors could help improve the understanding of aging and inform strategies for promoting healthy aging.