A5021120212- Robotics and Automated Systems
- IoT and Edge/Fog Computing
- Modular Robots and Swarm Intelligence
- Gaze Tracking and Assistive Technology
- Context-Aware Activity Recognition Systems
- Tactile and Sensory Interactions
- Virtual Reality Applications and Impacts
- Stroke Rehabilitation and Recovery
- Software-Defined Networks and 5G
- Human-Automation Interaction and Safety
- EEG and Brain-Computer Interfaces
- Augmented Reality Applications
- Teleoperation and Haptic Systems
- Hand Gesture Recognition Systems
- Older Adults Driving Studies
- Innovative Human-Technology Interaction
- Air Traffic Management and Optimization
- Artificial Intelligence in Games
- Human Motion and Animation
- Advanced Memory and Neural Computing
- Advanced Aircraft Design and Technologies
- Urban Transport and Accessibility
- Blind Source Separation Techniques
- Opportunistic and Delay-Tolerant Networks
- Remote Sensing and Land Use
Universidade Federal do Espírito Santo
2018-2024
Instituto Tecnológico de Aeronáutica
2004
People with severe physical disabilities are not able of using standard robotic wheelchairs, which generally demand some motor skills, and therefore total usage associate muscles. Robotic wheelchairs commanded by Brain-Computer Interfaces (BCIs) based on Electroencephalography (EEG) have demonstrated to be an alternative for these end-users. In general, existing BCIs require special platforms adapted the EEG-BCI, end-users need attend a long training process safely drive devices. But many...
Network Slicing (NS) is an essential technique extensively used in 5G networks computing strategies, mobile edge computing, cloud and verticals like the Internet of Vehicles industrial IoT, among others. NS foreseen as one leading enablers for 6G futuristic highly demanding applications since it allows optimization customization scarce disputed resources dynamic, clients with distinct application requirements. Various standardization organizations, 3GPP's proposal new generation...
This work presents a multimodal cognitive interaction strategy aiming at walker-assisted rehabilitation therapies, with special focus on post-stroke patients. Such is based monitoring user's gait and face orientation to command the displacement of smart walker. Users are able actively steering walker by changing their orientation, while lower limbs movement affect walker's linear velocity. The proposed system validated using results obtained point feasibility employing such in therapies.
Summary Despite recent advancements on cloud-enabled and human-in-the-loop cyber-physical systems, there is still a lack of understanding how infrastructure-related quality service (QoS) issues affect user-perceived experience (QoE). This work presents pilot experiment over mobility assistive device providing guidance investigates the relationship between QoS QoE in such system. In our experiment, we employed CloudWalker, system linking smart walkers cloud platforms, to physically interact...
Abstract Stroke has been considered the main cause of neuromuscular damages worldwide and one most common causes walking disabilities, with approximately 60% individuals suffering from persistent problems in walking. These patients generally use technical aids for to achieve independent gait, however, when cognitive impairments are also present, conventional assistive devices such as walkers could be difficult handle. By leveraging multimodal interfaces, smart can offer natural intuitive...
Wireless networks have become in the last years a key enabling technology for cloud-enabled robots. Among those, usage of WiFi is first choice due to its almost ubiquitous use nowadays. However, suffers from crucial issues like spectrum interference, connectivity losses, long delay client association and high latency handover. This work proposes novel architectural split functionalities based on an enhanced software-defined wireless architecture. Cloud-enabled robots scenarios are addressed...
The decline in neuromusculoskeletal capabilities of older adults can affect motor control, independence, and locomotion. Because the elderly population is increasing worldwide, assisting independent mobility improving rehabilitation therapies has become a priority. combination robotic devices virtual reality (VR) tools be used gait training to improve clinical outcomes, motivation, treatment adherence. Nevertheless, VR may associated with cybersickness changes kinematics. This paper analyzes...
Due to its ubiquitous use, WiFi may play an essential role in providing indoor connectivity for the new real-time services several 5G verticals. However, there are still pressing issues be addressed, requiring mobility management schemes guarantee reliable and low latency communications. In this paper, we propose a novel SDN-NFV based architecture with cost off-the-shelf that explores multiconnectivity scheme at user devices. order demonstrate feasibility of our approach, developed prototype...
The following topics are dealt with: control system synthesis; nonlinear systems; three-term control; predictive mobile robots; position power generation optimisation; feedback; machine control.
The increased computational complexity demanded by recent algorithms and techniques applied to healthcare social robotics, often limited the robot's embedded hardware, coupled with advancements on networking cloud computing enabled so-called robotics paradigm. This work explores concepts pointing at opportunities design development of robotic platforms used for patient mobility assistance. Moreover, we present CloudWalker, a cloud-enabled cyber-physical system assist impaired individuals....
Human mobility involves the nervous and muscular systems, essential for planning execution of movements such as walking. According to WHO, approximately 3.8% global population faces challenges in This article presents development a human-machine interface with goal testing system validating user perception make it more accessible, efficient, enjoyable patients. The integration serious games into was chosen establish an interactive environment that blends gait training, driving physical...
In-Network Computing is a promising field that can be explored to leverage programmable network devices offload computing towards the edge of network. This has created great interest in supporting wide range functionality data plane. Considering networked robotics domain, this brings new opportunities tackle communication latency challenges. However, approach opens room for hardware-level exploits, with possibility add malicious code device hidden fashion, compromising entire robotic...