Most fall prevention technologies utilize a combination of sensors and algorithms to detect and predict falls. Sensors may detect changes in speed, orientation, or pressure, while advanced algorithms process this data to understand movement patterns. If a potential fall is detected, the system can alert the patient, a caregiver, or emergency services.
