Fall Detection FPGA-Based Systems: A Survey

A Fall Detection System based on the Type II Fuzzy Logic and Multi-Objective PSO Algorithm

The Elderly health is an important and noticeable issue; since these people are priceless resources of experience in the society. Elderly adults are more likely to be severely injured or to die following falls. Hence, fast detection of such incidents may even lead to saving the life of the injured person. Several techniques have been proposed lately for the fall detection of people, mostly cate...

FPGA-Based Feature Detection

Fast, accurate, autonomous robot navigation is essential for landing and roving on planets. For landing, particularly, computing speed matters. Navigation algorithms calculate feature descriptors in stereo pairs as the basis of visual odometry and obstacle avoidance. Feature detection is understood, but requires hundred-fold speed-up which is not achievable on conventional lander and rover comp...

Comparison and Characterization of Android-Based Fall Detection Systems

Falls are a foremost source of injuries and hospitalization for seniors. The adoption of automatic fall detection mechanisms can noticeably reduce the response time of the medical staff or caregivers when a fall takes place. Smartphones are being increasingly proposed as wearable, cost-effective and not-intrusive systems for fall detection. The exploitation of smartphones' potential (and in par...

An Analysis of Webcam Based Fall Detection Systems

Depth Sensor Based Skeletal Tracking Evaluation for Fall Detection Systems

Falls are very common in elderly due to various physical constraints. Since falls may cause serious injury and even death, fall detection systems are very important, especially when the victim is alone at home or is unable to seek regular/timely medical assistance. In this paper, development of a fall detection system based on Kinect sensor is evaluated. Microsoft Kinect is a low cost RGB-D sen...