Fall detection is a research area focused on developing technologies and algorithms to automatically detect when an individual has fallen. This technology is particularly important for the elderly or individuals with mobility issues who may be at a higher risk of falling and injuring themselves. Fall detection systems often use sensors such as accelerometers, gyroscopes, and pressure sensors to monitor a person's movements and detect sudden changes indicative of a fall. These systems can then automatically alert caregivers or emergency services to provide assistance. Research in fall detection also includes investigating machine learning algorithms to improve the accuracy and reliability of fall detection systems.