A5101666470- Neural Networks and Applications
- Social Robot Interaction and HRI
- Robotic Path Planning Algorithms
- Teaching and Learning Programming
- Mobile Agent-Based Network Management
- Stroke Rehabilitation and Recovery
- Education and Digital Technologies
- Emotion and Mood Recognition
- Robotics and Automated Systems
- Modular Robots and Swarm Intelligence
- Context-Aware Activity Recognition Systems
- Muscle activation and electromyography studies
- Hand Gesture Recognition Systems
- Teleoperation and Haptic Systems
- Virtual Reality Applications and Impacts
- Assistive Technology in Communication and Mobility
- Augmented Reality Applications
- Advanced Chemical Sensor Technologies
- Control and Dynamics of Mobile Robots
- Power Quality and Harmonics
- Vehicle License Plate Recognition
- Spectroscopy and Chemometric Analyses
- Brain Tumor Detection and Classification
- Optimization and Packing Problems
- Smart Parking Systems Research
University of Toronto
2017-2023
University of Ontario Institute of Technology
2021
Universidade de São Paulo
2012-2016
Reference Center for Research, Development and Innovation in ATM
2016
Universidade Estadual Paulista (Unesp)
2012-2013
Universidade Estadual de Campinas (UNICAMP)
2010-2012
Universitat de les Illes Balears
2002
For social robots to effectively engage in human-robot interaction (HRI), they need be able interpret human affective cues and respond appropriately via display of their own emotional behavior. In this article, we present a novel multimodal HRI architecture promote natural engaging bidirectional communications between robot user. User affect is detected using unique combination body language vocal intonation, classification performed Bayesian Network. The Emotionally Expressive Robot...
Durante a pandemia de COVID-19, saúde pública e sociedade se depararam com desafios, provocando diversas mudanças nos aspectos da vida humana. Além do impacto direto no bem-estar físico, crise sanitária exerceu marcante influência na mental população brasileira, afetando em especial os idosos. O isolamento social, o risco contaminação desamparo emocional contribuíram para agravamento condições como ansiedade, depressão estresse. Diante desse cenário, objetivo principal deste estudo consiste...
For older adults, regular exercises can provide both physical and mental benefits, increase their independence, reduce the risks of diseases associated with aging. However, only a small portion adults regularly engage in activity. Therefore, it is important to promote exercise among help maintain overall health. In this paper, we present first exploratory long-term human–robot interaction (HRI) study conducted at local care facility investigate benefits one-on-one group interactions an...
Regular exercise has immediate and long-term benefits for people of all ages. Maintaining an adequate amount daily is important to overall health wellbeing. Our research focuses on the development a socially assistive robot, Salt, facilitate different upper body exercises. During exercises, robot uniquely able autonomously detect user's affect engagement as well measure their heart rate prevent overexertion. A emotion model using n th order Markov Chain used determine robot's appropriate...
In this paper, we present a novel robot emotion model that can be used for social robots engaged in human-robot interactions (HRI). The proposed effectively determines the robot's emotional state based on its own history, affect of user whom is interacting with, and HRI task at hand. uniquely uses an n <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">th</sup> order Markov Model (MM) to track history during interactions. Simulated experiments were...
In this work a natural interaction framework for programming mobile robot with gestures is developed using two low-cost human interface devices available on the market. The use of motion has been growing among user researches and developers offering comfortable ways interacting around us. Some examples can be seen in how touch screens, accelerometers image processing have influenced our interactions cellphones, gaming computers, thus, allowing us to take advantage body ergonomics. objective...
Reaching and grasping are two of the most affected functions after stroke. Hybrid rehabilitation systems combining Functional Electrical Stimulation with Robotic devices have been proposed in literature to improve outcomes. In this work, we present combined use a hybrid robotic system an EEG-based Brain-Machine Interface detect user's movement intentions trigger assistance. The platform has tested single session stroke patient. results show how patient could successfully interact BMI command...
Providing care to seniors and adults with Developmental Disabilities (DD) presents challenges associated care, companionship, medication intake, fall monitoring among others. Currently, measures prevent the spread of COVID-19 have seen restricted access those living in long-term facilities (LTCFs). While technologies such as robotics virtual reality (VR) advances overcoming aforementioned challenges, restrictions impacted research development relying on human participants. Recently, use...
According to the World Report on Disability, currently 93 million children experience some kind of moderate or severe disability. Several systems including motion capture, serious games, exoskeletons and robotics have been researched developed for assisting them recovering basic functionality daily activities, thus, improving mobility providing a better quality life. The popularization these tools is challenging task due required technical knowledge high acquisition costs, yet, field...
Disabled children, when compared to other have fewer opportunities for exploring and interacting with the world. Thus, they are exposed feeling that unable do anything by themselves. In this sense, use of mobile robots may help these children overcome their limitation provide means develop social skills. This paper describes partial results on-going research on control architectures concerning hardware software aspects. We propose a behavior-based architecture interaction between humans...
Voice-based user interfaces have been actively pursued aiming to help individuals with motor impairments, providing natural communicate machines. In this work, we introduced a recent machine learning technique named Optimum-Path Forest (OPF) for voice-based robot interface, which has demonstrated be similar the state-of-the-art pattern recognition techniques, but much faster. Experiments were conducted against Support Vector Machines, Neural Networks and Bayesian classifier show OPF...