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Deep Representation Learning for Clustering and Domain Adaptation
(2019-12-05)
Representation learning is a fundamental task in the area of machine learning which can significantly influence the performance of the algorithms used in various applications. The main goal of this task is to capture the ...
THINK2ACT: USING MULTIMODAL DATA TO ASSESS HUMAN COGNITIVE AND PHYSICAL PERFORMANCE
(2019-12-10)
As computers become more advanced, affordable, and smaller in size, we start to use them in almost every aspect of our daily life. Nowadays, the use of computers is not just limited to accomplish work-related tasks. Instead, ...
Feature Extraction In Noise-Diverse Environments For Human Activities Recognition Using Wi-Fi
(2019-12-04)
With the rapid development of 802.11 standard and Internet of Things (IoT) applications, Wi-Fi (IEEE 802.11) has emerged as the most widely used wireless communication technology. Wi-Fi based sensing has found widespread ...
In Situ Sensor Calibration Using Noise Consistency
(2020-09-08)
Robots rely on sensors to map their surroundings. As a result, the accuracy of the map depends heavily on the sensor noise and in particular on accurate knowledge of it. The common way to ...
Translation of Array-based Loop Programs to Optimized SQL-based Distributed Programs
(2021-12-17)
Most programs written to operate on data are usually expressed in terms of array operations in sequential loops. However, these programs do not scale to large amount of data generated by scientific experiments and industrial ...
FROM BODY TO BRAIN: USING ARTIFICIAL INTELLIGENCE TO IDENTIFY USER SKILLS & INTENTIONS IN INTERACTIVE SCENARIOS
(2019-04-23)
Artificial Intelligence has probably been the most rapidly evolving field of science during the last decade. Its numerous real-life applications have radically altered the way we experience daily-living with great impact ...
SEMI-AUTOMATIC HAND POSE ESTIMATION USING A SINGLE DEPTH CAMERA
(2020-11-30)
This paper addresses the problem of 3D hand pose annotations using a single depth camera. Although hand pose estimation methods rely critically on accurate 3D training data, creating such reliable training data is challenging ...
Context-Aware Gaze-Based Interface for Smart Wheelchair
(2023-05-22)
Human-Computer Interfaces (HCI) is an essential aspect of modern technology that has revolutionized the way we interact with machines. With the revolution of computers and smart devices and the advent of autonomous vehicles ...
TOWARD DIGITAL PHENOTYPING: HUMAN ACTIVITY REPRESENTATION FOR EMBODIED COGNITION ASSESSMENT
(2023-02-23)
Cognition is the mental process of acquiring knowledge and understanding through thought, experience and senses. Based on Embodied Cognition theory, physical activities are an important manifestation of cognitive functions. ...
LEARNING FROM WIZARD-OF-OZ USING DYNAMIC USER MODELING
(2017-05-15)
Socially assistive robotics (SAR) is a field of study that combines assistive robotics with socially interactive robotics where the goal of the robot is to provide assistance to human users through social interaction. The ...