activity
20182022
most citedArtificial Emotional Intelligence in Socially Assistive Robots for Older Adults: A Pilot Study

186 citations · 336 across the 7 of their papers we have counts for

collaborators

15 papers

cs.LG2022101 cited

Deep Learning Methods for Fingerprint-Based Indoor Positioning: A Review

Fahad Alhomayani, Mohammad H. Mahoor

Outdoor positioning systems based on the Global Navigation Satellite System have several shortcomings that have deemed their use for indoor positioning impractical. Location finger…

eess.SP202213 cited

OutFin, a multi-device and multi-modal dataset for outdoor localization based on the fingerprinting approach

Fahad Alhomayani, Mohammad H. Mahoor

In recent years, fingerprint-based positioning has gained researchers attention since it is a promising alternative to the Global Navigation Satellite System and cellular network-b…

cs.HC2022

A Music-Therapy Robotic Platform for Children with Autism: A Pilot Study

Huanghao Fengr, Mohammad H. Mahoor, Francesca Dino

Children with Autism Spectrum Disorder (ASD) experience deficits in verbal and nonverbal communication skills including motor control, turn-taking, and emotion recognition. Innovat…

cs.HC2022186 cited

Artificial Emotional Intelligence in Socially Assistive Robots for Older Adults: A Pilot Study

Hojjat Abdollahi, Mohammad H. Mahoor, Rohola Zandie +2

This paper presents our recent research on integrating artificial emotional intelligence in a social robot (Ryan) and studies the robot's effectiveness in engaging older adults. Ry…

eess.SP2021

Oversampling Highly Imbalanced Indoor Positioning Data using Deep Generative Models

Fahad Alhomayani, Mohammad H. Mahoor

The location fingerprinting method, which typically utilizes supervised learning, has been widely adopted as a viable solution for the indoor positioning problem. Many indoor posit…

cs.CL2021

RyanSpeech: A Corpus for Conversational Text-to-Speech Synthesis

Rohola Zandie, Mohammad H. Mahoor, Julia Madsen +1

This paper introduces RyanSpeech, a new speech corpus for research on automated text-to-speech (TTS) systems. Publicly available TTS corpora are often noisy, recorded with multiple…