Fall detection requires data from a combination of these two sensors, the accelerometer and the gyro. A tripping fall may result in an impact recorded by the accelerometer, and the screen itself may then have a distinct orientation—likely vertical— compared to the ground. That’s because your...
The detection process resulted in three false positives. A smartwatch-based FDS was used by Van et al. [57] in a trial study with three senior volunteers for a period of about one month. No falls occurred but 83 false positives were registered (1.153 per person and day). In this ...
Also for detecting falls while walking, we propose to recycle the latent samples generated in training the auto-encoded Gaussian process dynamical model for GP-based novelty detection, which can lead to an efficient and seamless ...
But if she were the mistake, and if there were other cyphers out there, smaller and shrewder, escaping detection for months and years at a time . . . That possibility was put on lists and ranked according to likelihoods and the relative dangers. Hunts were made, and made, and made. ...
The detection of activities of daily living (ADL) and the detection of falls is of utmost importance for addressing the issue of serious injuries and death as a consequence of elderly people falling. Wearable sensors can provide a viable solution for mon
before evaluating the risk of fall is the accurate detection of steps that pose several problems. A significant challenge is the applicability of the algorithms in various populations with different styles of locomotion and the detection of steps when neurological diseases alter gait. Another challenge...
The precision achieved, however, still fell short of the requirements of a real-world fall detection/alert system due to the high rate of false positives. These findings highlight the importance of training models on real-world datasets to optimize the performance of automatic event detection in ...