Human fall, Fall detection, MARG (Magnetic Angular Rate and Gravity) sensor, Wearable deviceThis paper describes a dataset acquired on 8 subjects while simulating 13 types of falls and 5 types of Activities of Daily Living (ADL), each repeated 3 times. In details, data includes 4 simulated ...
Sensor-based fall detection using a combination model of a temporal convolutional network and a gated recurrent unite For the MobiAct dataset and Mosi-F dataset (which is a mixture of the MobiAct dataset with the Sisfall dataset), the prediction accuracy reached 99.5% ... Y Li,Z Zuo,J Pan...
[4]Fall-Detection Algorithm Using 3-Axis Acceleration: Combination with Simple Threshold and Hidden Markov Model Dongha Lim, Chulho Park, Nam Ho Kim, Sang-Hoon Kim, and Yun Seop Yu Sensor Orientation: Dataset Information Activities of Daily Living (ADLs): ...
This study focuses on the performance of a fall detection method using data coming from real falls performed by relatively young people and the application of this technique in the case of an elder person. Although the vast majority of studies concerning
the proliferation of low-cost cameras coupled with deep learning techniques has transformed vision-based methods for fall detection. Motivated by this, in this paper, we present an alternate low-cost and efficient system for fall detection in 360∘videos using deep learning. Towards this, we fir...
Furthermore, it is also demonstrated that the base station successfully detected the presence of the malicious sensor node when the given IoT device is enabled with the proposed IDPM. In [31], the IDS principle approach is designed to find any anomaly in the network by monitoring the ...
In Fall 2019, I was at the local dog park, and I found myself in a situation where my dog pooped, but I had forgotten to bring bags with me. I walked to the local bag station (thank you D.G.S.), grabbed one, but then I couldn't find where the poop was. The brown fallen ...
Recent advances in wearable sensors have enabled the accurate recognition of human actions at a highly detailed level1,2. This, in conjunction with modern AI techniques, has facilitated the analysis of high-level actions in various fields, such as fall detection3,4,5,6,7, sports training8,9...
covering twelve categories in three domains. The dataset contains 9,621 normal and 1,200 anomalous samples with various flaws such as dents, cracks or missing parts. The defects were manually generated and all images were acquired using a\(4,000 \times 6,000\)high-resolution RGB sensor. ...
Despite their known security shortcomings, Controller Area Networks are widely used in modern vehicles. Research in the field has already proposed several solutions to increase the security of CAN networks, such as using anomaly detection methods to iden