LOW-COST NON-WEARABLE FALL DETECTION SYSTEM IMPLEMENTED ON A SINGLE BOARD COMPUTER FOR PEOPLE IN NEED OF CARE

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 Parts 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 High-Definition IR-CUT camera.The CNN architecture classifies detected people into five classes: fallen, crouching, sitting

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Comprehensive discovery of CRISPR-targeted terminally redundant sequences in the human gut metagenome: Viruses, plasmids, and more

Viruses are the most numerous biological entity, existing in all environments and infecting all cellular organisms.Compared with cellular life, the evolution and origin of viruses are poorly understood; viruses are enormously diverse, and most lack sequence similarity to cellular genes.To uncover viral sequences without relying on either reference

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