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Kazi Raihan

dblp:171/5000 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Security and privacy · 1Human-computer interaction and ubiquitous computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Human-robot interaction · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-robot interaction › child-robot interaction
robot-assisted autism therapy
0.212016
Multisensory Robotic Therapy to Promote Natural Emotional Interaction for Children with ASD · HRI 2016
Human-robot interaction › emotion expression
emotion-based gestures
0.112016
Multisensory Robotic Therapy to Promote Natural Emotional Interaction for Children with ASD · HRI 2016
Human-robot interaction › nonverbal communication
facial expression
0.112016
Multisensory Robotic Therapy to Promote Natural Emotional Interaction for Children with ASD · HRI 2016

Methods — techniques the papers use, named apart from their topics

vision-based monitoring · 0.2audio-based monitoring · 0.2
YearPublicationVenuePosition
2016 Multisensory Robotic Therapy to Promote Natural Emotional Interaction for Children with ASD
abstract
Children with autism have a hard time both with expressing their emotions, and with understanding the emotions of others. As the population of children with autism increases, it is crucial we create effective therapeutic programs that will improve their communication skills. We present an interactive robotic system that delivers emotional and social behaviors for multi-sensory therapy for children with autism spectrum disorders. Our framework includes emotion-based robotic gestures and facial expressions, as well as vision and audio-based monitoring system for quantitative measurement of the interaction.
Rachael Bevill, Paul Azzi, Matthew Spadafora, Chung Hyuk Park, Hyung Jung Kim, JongWon Lee, Kazi Raihan, Myounghoon Jeon 0001, Ayanna M. Howard
HRI7
2015 Reducing energy consumption of mobile phones during data transmission and encryption for wireless body area network applications
abstract
Wireless body area networks (WBANs) are an exciting technology that will revolutionize physiological monitoring in the coming years. However, the widespread deployment of WBANs is restricted by steep energy limitations. Furthermore, they require acute security measures to protect user medical data. We aim to measure the energy consumption of a cellphone as it transmits and encrypts data in a mock WBAN scenario. We evaluated the impact of various design parameters in an effort to discover the ideal WBAN operational protocols. In conclusion, we recommend an optimal file size strategy, data communication network, and encryption algorithm that minimize energy consumption and enhance WBAN operation. Copyright © 2015 John Wiley & Sons, Ltd.
Chris DelBello, Kazi Raihan
Secur. Commun. Networks2