Low-Cost Non-Wearable Fall Detection System Implemented on a Single Board Computer for People in Need of Care
This work aims at proposing an affordable, non-wearable system to detect falls of people in need of care.The proposal uses artificial vision based on deep learning techniques implemented on a Raspberry Pi4 4GB RAM with a Mug High-Definition IR-CUT camera.The CNN architecture classifies detected people into five classes: fallen, crouching, sitting,