Cookies Policy
We use cookies to improve our site and your experience. By continuing to browse our site you accept our cookie policy. Find out More
Close
  • Menu
About

About

Salik Ram Khanal was born in Pakawadi-4, Syangja, Nepal, in 1984. He received the B.E. degree in Computer Engineering from the Pokhara Engineering College affiliated to the Pokhara University, Pokhara, Nepal, in 2007, and the MSc IT from Sikkim Manipal University, Sikkim, India in 2010. In 2014 he selected for the Erasmus Mundus scholarship for the MSc in Information Engineering from University of Porto and completed MSc in 2016. Currently, he is pursuing Ph.D. degrees in Informatics Engineering at the University of Trans-os-Montes e Alto Douro (UTAD).

In 2008, he joined the Department of Electronics and Computer Engineering, Institute of Engineering, Pashchimanchal Campus Pokhara, Nepal, as a Lecturer. Moreover, from 2011 to 2014, he became head of the department in the same department. Since October 2016, he has been working as a research assistant in INESC TEC, UTAD center.

His main area of research interests includes computer vision, machine learning, deep learning, and HCI.  He attempted more than 10 scientific conferences as a conference organizer and presenter of research papers. He has more than 10 research articles published in peer-review journal and conference proceedings.

Interest
Topics
Details

Details

  • Name

    Salik Ram Khanal
  • Cluster

    Computer Science
  • Role

    Research Assistant
  • Since

    01st October 2016
001
Publications

2018

Using emotion recognition in intelligent interface design for elderly care

Authors
Khanal, SR; Reis, A; Barroso, J; Filipe, V;

Publication
Advances in Intelligent Systems and Computing

Abstract
In the later stages of the aging process, an elderly person might need the help of a family member or a caregiver. Technology can be used to help to take care of elderly persons. Autonomous systems, using special interfaces, can collect information from elderly people, which might be useful to predict and recognize health related problems or physical security problems in real time. The emerging technology of image processing, in particular, the emotion recognition, can be a good option to use in elderly care support systems. In this article, we implemented a Microsoft Azure – Emotion SDK to recognize emotion of elderly that able to detect faces and recognize emotions in real time and to be used for elderly care support. The analysis is done with an online video stream, which analyzes facial expression, so that in case of a critical emotion, e.g., if an elderly is very sad or crying, it will inform a caregiver or related entity. From the experiment, we concluded that emotion recognition is a reliable technology to be implemented in real time elderly care. © Springer International Publishing AG, part of Springer Nature 2018.

2018

Classification of physical exercise intensity by using facial expression analysis

Authors
Khanal, SR; Barroso, J; Sampaio, J; Filipe, V;

Publication
2018 Second International Conference on Computing Methodologies and Communication (ICCMC)

Abstract

2018

Facial emotion recognition in the elderly using a SVM classifier

Authors
Lopes, N; Silva, A; Khanal, SR; Reis, A; Barroso, J; Filipe, V; Sampaio, J;

Publication
2018 2nd International Conference on Technology and Innovation in Sports, Health and Wellbeing (TISHW)

Abstract

2018

Physical exercise intensity monitoring through eye-blink and mouth’s shape analysis

Authors
Khanal, SR; Fonseca, A; Marques, A; Barroso, J; Filipe, V;

Publication
2018 2nd International Conference on Technology and Innovation in Sports, Health and Wellbeing (TISHW)

Abstract

2017

Designing Autonomous Systems Interactions with Elderly People

Authors
Reis, A; Barroso, I; Monteiro, MJ; Khanal, SR; Rodrigues, V; Filipe, V; Paredes, H; Barroso, J;

Publication
Universal Access in Human-Computer Interaction. Human and Technological Environments - 11th International Conference, UAHCI 2017, Held as Part of HCI International 2017, Vancouver, BC, Canada, July 9-14, 2017, Proceedings, Part III

Abstract
Aging is a process inherent to the human condition and part of the human being’s life cycle, which can be degraded by the reduction in the individual’s physical and social activity. This problem can be augmented by the context in which the person is aging, e.g., family, health and social bonds. The elderly individuals’ well-being is related to the strength of their social bonds with their family and friends group, which can be difficult to maintain in some stages of the aging process. A, recently- proposed solution is the adoption of autonomous systems capable of autonomous interactions with the elderly. Such systems are designed to be able to interpret the individual’s state of mind and the current context in order to conduct an effective interaction with the elderly person. This study focuses on the interaction design between the autonomous system and the human person, by considering the elderly individual’s context and pursuing the type of interaction that will positively influence the reinforcement or maintenance of the person’s social bonds with the family and friends groups. The study was carried out by interviewing a group of elderly people, currently living in nursing homes and with limited access to their family and friends. © Springer International Publishing AG 2017.