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Self-Supervised Human Activity Recognition by Augmenting Generative Adversarial Networks
(ACM, 2021-07-02)
This article proposes a novel approach for augmenting generative
adversarial network (GAN) with a self-supervised task in order to
improve its ability for encoding video representations that are useful in downstream tasks ...
Learning Visuomotor Policies with Deep Movement Primitives
(ACM, 2021-07-02)
In this paper, we present a novel method to learn end-to-end visuomotor policies for robotic manipulators. The method computes
state-action mappings in a supervised learning manner from video
demonstrations and robot ...
Designing a Vocational Immersive Storytelling Training and Support System to Evaluate Impact on Working and Episodic Memory
(ACM, 2021-07-02)
Working memory and episodic memory are mainly responsible for
the storage and recollection of information, whereas Storytelling
is the most ancient and effective way of relaying this information
to the user. We have ...
Large-Scale Self-Supervised Human Activity Recognition
(ACM, 2022-07-11)
In this paper, a self-supervised approach is used to obtain an effective human activity representation using a limited set of annotated data. This research is aimed on acquiring human activity representation in order to ...
Automated System to Measure Static Balancing in Children to Assess Executive Function
(ACM, 2022-07-11)
We present multiple methods based on computer vision and deep learning to automate the task of ”Balancing on one foot”. This is one of the Activate Test of Embodied Cognition (ATEC) tasks used to measure cognitive skills ...
vIIIS: A Vocational Intelligent Interactive Immersive Storytelling Framework to Support Task Performance
(ACM, 2021-07-02)
This paper presents a framework for developing Intelligent, Interactive, and Immersive Storytelling systems for vocational training
by improving task performance. We present a systematic framework that can be used to ...
Automated system to measure Tandem Gait to assess executive functions in children
(ACM, 2021-07-02)
As mobile technologies have become ubiquitous in recent years,
computer-based cognitive tests have become more popular and
efficient. In this work, we focus on assessing motor function in children by analyzing their gait ...
Sequential Late Fusion Technique for Multi-modal Sentiment Analysis
(ACM, 2021-07-02)
Multi-modal sentiment analysis plays an important role for providing better interactive experiences to users. Each modality in
multi-modal data can provide different viewpoints or reveal unique
aspects of a user’s emotional ...
Smartphone Based IoT-Controller Framework for Assisting the Blind in Human Robot Interaction
(ACM, 2022-07-11)
In this paper, a novel smartphone-based IoT-Controller Framework is proposed for effective interaction between robots and people who are blind. This framework focuses on assisting visually impaired users in a pick and place ...
MINA: A Multitasking Intelligent Nurse Aid Robot
(ACM, 2021-07-02)
Nurses have to carry out a myriad of tasks, which is one of the
main reasons for burnout. In this paper, a robotic Multitasking
Intelligent Nurse Aid (MINA) is proposed to assist nurses with
everyday tasks and tackle ...