Fall detectionForce sensing resistorInertial measurement unitIn this study, experiments are conducted for four types of falls and eight types of activities of daily living with an integrated sensor system that uses both an inertial measurement unit and a plantar-pressure measurement unit and the fall...
In order to solve the problems that insufficient feature extraction, poor generalization of fall discrimination conditions, and poor real-time performance in traditional algorithms, a fall detection algorithm based on convolutional neural
Enabled theory: Apply Doppler radar technology with Near Distance Sensor(NDS) operating at 24GHz Standard algorithm: Distinguish occupied/unoccupied conditions and identify human activities in the self-adaption environmen Singular fall detection: Detect simultaneously, privacy-protectively, wirelessly, wearable...
While it should be noted that the sample size of some of the groups was relatively small, the performance difference may suggest the need to create a personalized, fall detection model to each user based on his/her individual-specific sensor data and fall recordings. Our system’s ability to...
Algorithm optimization: By improving the fall recognition algorithm, the detection accuracy and robustness are improved. Multi-sensor fusion: Combined with other sensors such as cameras, infrared sensors, etc., to achieve more comprehensive human body perception and fall detection. ...
Thus, the input features will be derived from this time observation window of 2 s, while the rest of the time series of each sample will be ignored by the detection algorithm. In a previous work6, we defined and analyzed 12 statistical acceleration-based features that have been proposed and...
Software algorithm: fall detection algorithm is the core of fall detection system. The algorithm needs to implement the functions of echo signal pre-processing, feature extraction and fall determination. Specifically, the algorithm needs to be able to extract the movement information and posture informa...
Falls cause great harm to people, and the current, more mature fall detection algorithms cannot be well-migrated to the embedded platform because of the huge amount of calculation. Hence, they do not have a good application. A lightweight fall detection algorithm based on the AlphaPose optimizati...
WO/2007/148246May, 2007A SENSOR FOR SENSING ACCELERATIONS WO2007148246A12007-12-27A SENSOR FOR SENSING ACCELERATIONS Other References: Hwang et al. “Development of Novel Algorithm and Real-time Monitoring Ambulatory System Using Bluetooth Module for Fall Detection in the Elderly” IEEE Sep. 2004, ...
fall lstm gru transferlearning falldetection Updated May 25, 2021 Jupyter Notebook powerli2002 / FallDetectionApp Star 8 Code Issues Pull requests A desktop program based on pyside2 is implemented, which uses yolov5 and KNN algorithm to detect falls.实现了一个基于pyside2的桌面程序, 使用...