[HTML][HTML] Eldo-care: EEG with kinect sensor based telehealthcare for the disabled and the elderly

S Das, A Adhikary, AA Laghari, S Mitra - Neuroscience Informatics, 2023 - Elsevier
Telehealthcare systems are nowadays becoming a massive daily helping kit for elderly and
disabled people. By using the Kinect sensors, remote monitoring has become easy. Also …

A deep learning approach to automatic road surface monitoring and pothole detection

B Varona, A Monteserin, A Teyseyre - Personal and Ubiquitous Computing, 2020 - Springer
Anomalies in road surface not only impact road quality but also affect driver safety, mechanic
structure of the vehicles, and fuel consumption. Several approaches have been proposed to …

On thin air reads towards an event structures model of relaxed memory

A Jeffrey, J Riely - Proceedings of the 31st Annual ACM/IEEE …, 2016 - dl.acm.org
This is the first paper to propose a pure event structures model of relaxed memory. We
propose confusion-free event structures over an alphabet with a justification relation as a …

[HTML][HTML] Computational streetscapes

PM Torrens - Computation, 2016 - mdpi.com
Streetscapes have presented a long-standing interest in many fields. Recently, there has
been a resurgence of attention on streetscape issues, catalyzed in large part by computing …

A fuzzy logic architecture for rehabilitation robotic systems

Y Bouteraa, IB Abdallah, A ElMogy, A Ibrahim… - International Journal of …, 2020 - univagora.ro
Robots are highly incorporated in rehabilitation in the last decade to compensate lost
functions in disabled individuals. By controlling the rehabilitation robots from far, many …

Deep learning enabled cutting tool selection for special-shaped machining features of complex products

G Zhou, X Yang, C Zhang, Z Li, Z Xiao - Advances in Engineering Software, 2019 - Elsevier
Each complex product contains many special-shaped machining features required to be
machined by the specific customized cutting tools. In this context, we propose a deep …

[HTML][HTML] Rehabilitation exergames: Use of motion sensing and machine learning to quantify exercise performance in healthy volunteers

RH Osgouei, D Soulsby, F Bello - JMIR Rehabilitation and …, 2020 - rehab.jmir.org
Background: Performing physiotherapy exercises in front of a physiotherapist yields
qualitative assessment notes and immediate feedback. However, practicing the exercises at …

Hand rehabilitation assessment system using leap motion controller

M Weiss Cohen, D Regazzoni - Ai & Society, 2020 - Springer
This paper presents an approach for monitoring exercises of hand rehabilitation for post
stroke patients. The developed solution uses a leap motion controller as hand-tracking …

Gesture imitation and recognition using Kinect sensor and extreme learning machines

E Yavşan, A Uçar - Measurement, 2016 - Elsevier
This study presents a framework that recognizes and imitates human upper-body motions in
real time. The framework consists of two parts. In the first part, a transformation algorithm is …

[HTML][HTML] Development of an IoT-based solution incorporating biofeedback and fuzzy logic control for elbow rehabilitation

Y Bouteraa, I Ben Abdallah, A Ibrahim, TA Ahanger - Applied Sciences, 2020 - mdpi.com
The last few years have seen significant advances in neuromotor rehabilitation
technologies, such as robotics and virtual reality. Rehabilitation robotics primarily focuses on …