This competition lies on the fall classification problem, and it aims to classify eleven human activities (i.e. five types of falls and six simple daily activities) using the joint information from different wearables, ambient sensors and video recordings, stored in a given dataset. After five ...
Recently, our research group released a public multimodal dataset for fall detection called the UP-Fall Detection dataset, and studies on modality approaches for fall detection and classification are required. Focusing only on a vision-based approach, in this paper, we present a fall detection ...
An iOS fall detection data collection system. It uses CoreMotion for retrieving accelerometer, magnetometer, and gyroscope sensors, and interfaces with a PolarH10 chest strap for ECG data using the Polar SDK. - hwixley/Fall-Detection-Dataset-Generator
SisFall Dataset:http://sistemic.udea.edu.co/en/investigacion/proyectos/english-falls/ Sources: [1]Automatic Fall Monitoring: A Review Natthapon Pannurat, Surapa Thiemjarus, and Ekawit Nantajeewarawat [2]Real-life/real-time elderly fall detection with a triaxial accelerometer ...
scenarios. The DeeperForensics-1.0 dataset also features a hidden test set, containing manipulated videos that achieve the high deceptive ranking in user studies. The hidden test set is richer in distribution than the publicly available training set, suggesting a better real-world forgery detection ...
Dataset collection and terminology The fraction of attributable risk (FAR) is a metric that describes the portion of the risk of the extreme weather event for which anthropogenic climate change is responsible. When the risk of an event has increased due to anthropogenic GHG, it is calculated as...
Research on Integrated Learning Fraud Detection Method Based on Combination Classifier Fusion (THBagging): A Case Study on the Foundational Medical Insurance Dataset. Electronics. 2020; 9(6):894. https://doi.org/10.3390/electronics9060894 Chicago/Turabian Style Gong, Jibing, Hekai Zhang, and ...
framework in different datasets: at the time of the Higgs boson discovery, using the full data from LHC Run 1, in the dataset used in this paper and the expected 1-s.d. uncertainty at the HL-LHC for \({\mathcal{L}}=3,000\,{{\rm{fb}}}^{-1}\)....
The global CTH observations with 5 km resolution from CALIPSO (Min and Zhang, 2014; Winker et al., 2009) Version-4.10 dataset (CAL_LID_L2_05kmCLay-Standard-V4-10, https://subset.larc.nasa.gov/calipso/login.php) are used to create the CTH training dataset and to provide a benchmark ...
0. Using your own dataset If you want to use your own dataset you need to have a directory with two subfolders: one called 'Falls' and the other one 'NotFalls'. Inside each of them there should be a folder for each fall/"not fall" video (name does not matter), where the images ...