In this project, a wearable sensor-based fall detection system using a machine-learning algorithm had been developed. An application called ‘AndroSensor’ on a smartphone, that retrieves real-time data ...

Abstract: In this paper a fall body detection system for a smartphone device is proposed. Its embedded tri-accelerometer sensor was utilized to collect ... identified by an Extended Kalman filter ...

Lack of temporal labels for the fall time will not influence the development of algorithms for post-fall detection, since sensor data in the fall impact moment has very distinguishable patterns, which ...

In all, a great deal of effort must be expended before the evaluation function – the algorithm for fall detection – can be developed. Luckily, modern sensor modules support the developer in this ...

Data can be collected continuously during the day, which can then be analyzed using threshold-based algorithms ... sensors, ultrasounds, or even image processing of camera recordings. For further ...

The hardware architecture embedded into the sole and a new fall detection algorithm based on acceleration and time thresholds are presented. The algorithm introduces a new concept of differential ...

We developed a fall detection system that can identify falls automatically and alert caregivers or emergency services. The system uses wearable sensors to detect sudden movements, changes in posture, ...

Project Overview: This project presents a real-time fall detection system that utilizes LiDAR sensors to accurately classify human activities and identify potential falls among elderly people. The ...