Search Results for author:
Found 4 papers, 0 papers with code
Gait Events Prediction using Hybrid CNN-RNN-based Deep Learning models through a Single Waist-worn Wearable Sensor
The results showed that the use of CNN-RNN hybrid models with Attention and Bidirectional mechanisms is promising for accurate gait event detection using a single waist sensor.
Gait-based Frailty Assessment using Image Representation of IMU Signals and Deep CNN
In this paper, it is shown that by encoding gait signals as images, deep learning-based models can be utilized for the classification of gait type.
Gait-based Human Identification through Minimum Gait-phases and Sensors
It was shown that it is possible to achieve high accuracy of over 95. 5 percent by monitoring a single phase of the whole gait cycle through only a single sensor.
Structure-From-Sherds: Incremental 3D Reassembly of Axially Symmetric Pots From Unordered and Mixed Fragment Collections
Motivated by the success of the incremental approach in robust SfM, we present an efficient reassembly method for axially symmetric pots based on iterative registration of one sherd at a time.
