Trajectory-Based Air-Writing Recognition Using Deep Neural Network and Depth Sensor [PDF]
Trajectory-based writing system refers to writing a linguistic character or word in free space by moving a finger, marker, or handheld device. It is widely applicable where traditional pen-up and pen-down writing systems are troublesome.
Md. Shahinur Alam +5 more
doaj +4 more sources
Indirect Time-of-Flight Depth Sensor with Two-Step Comparison Scheme for Depth Frame Difference Detection [PDF]
A depth sensor with integrated frame difference detection is proposed. Instead of frame difference detection using light intensity, which is vulnerable to ambient light, the difference in depth between successive frames can be acquired.
Donguk Kim, Jaehyuk Choi
doaj +4 more sources
Assessment and Rating of Motor Cerebellar Ataxias With the Kinect v2 Depth Sensor: Extending Our Appraisal [PDF]
Current assessment of patients with cerebellar disorders is based on conventional neurological examination that is dependent on subjective judgements.
Takeru Honda +15 more
doaj +2 more sources
Design and Implementation of a YARP Device Driver Interface: The Depth-Sensor Case [PDF]
This work illustrates the design phases leading to the development of a new YARP device interface along with its client/server implementation. In order to obtain a smoother integration and a more reliable software usability, while avoiding common errors ...
Alberto Cardellino +2 more
doaj +2 more sources
Depth Sensor-Based Instrumentation of the Fukuda Stepping Test: Reliability and Clinical Associations in Older Adults [PDF]
This study evaluated the test–retest reliability of a depth sensor-based Fukuda Stepping Test and examined associations between sensor-derived kinematic parameters and established clinical outcomes in older adults.
Hasan Tolga Ünal +4 more
doaj +2 more sources
Automatic Recognition of Aggressive Behavior in Pigs Using a Kinect Depth Sensor [PDF]
Yongwha Chung +2 more
exaly +2 more sources
Skeleton Tracking Accuracy and Precision Evaluation of Kinect V1, Kinect V2, and the Azure Kinect
The Azure Kinect, the successor of Kinect v1 and Kinect v2, is a depth sensor. In this paper we evaluate the skeleton tracking abilities of the new sensor, namely accuracy and precision (repeatability).
Michal Tölgyessy +2 more
doaj +1 more source
System for Estimation of Human Anthropometric Parameters Based on Data from Kinect v2 Depth Camera
Anthropometric measurements of the human body are an important problem that affects many aspects of human life. However, anthropometric measurement often requires the application of an appropriate measurement procedure and the use of specialized ...
Tomasz Krzeszowski +5 more
doaj +1 more source
IDF-Sign: Addressing Inconsistent Depth Features for Dynamic Sign Word Recognition
Inconsistent hand and body features pose barriers to sign language recognition and translation leading to unsatisfactory models. Existing recognition models are built up on the spatial-temporal depth $S_{p}$ features.
Sunusi Bala Abdullahi +1 more
doaj +1 more source
Visually impaired individuals worldwide are at a risk of accidents while walking. In particular, falling from a raised place, such as stairs, can lead to serious injury.
Haruka Matsumura, Chinthaka Premachandra
doaj +1 more source

