Abstract
Falls can lead to serious injuries, hospitalization and sometimes death, and are considered the number one cause of disabilities among elderly people, making falls a key concern in the healthcare sector. Advances in medical technology and healthcare mechanisms have driven the development of new responses to the healthcare needs of a growing elderly population. Ambulatory accelerometer devices have been applied to develop reliable and robust fall detection systems. This paper assesses fall detection systems using Field Programmable Gate Arrays (FPGAs) as a CPU in addition to data transmission. In this paper, we give a survey of the different fall detection systems based on FPGAs in the literature, definition of the main theoret ical points of fall detection accelerometers-based systems, existing techniques and algorithms and we give an overview of the main steps to design a fall detection system.
Original language | English |
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Pages (from-to) | 191-202 |
Number of pages | 12 |
Journal | International Journal of Automation and Smart Technology |
Volume | 6 |
Issue number | 4 |
DOIs | |
State | Published - 2016 |
Keywords
- Accelerometers
- Embedded systems
- Fall detection
- FPGA
- Health-monitoring