Blog Archives

Cristina Peixoto Santos

3rd prize “Environmental Robotics Application for sustainability”, CLAWAR 2022

Best Presentation and Scientifc Article, 19th IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC), Porto, 2019.

Dispositivo para apoio à marcha e respetivo método de funcionamento

Cinta para avaliação de risco de quedas e respetivo método de funcionamento

Eband

AI-based Approaches to Study Motion Intention and Fall Detection Using a Cane-Type Robot

Decoding Activities of Daily Living and Incipient Falls using Brain Signals

Decoding Human Movement Intentions and Postural Reaction through Brain Signals

Clinical Decision Support Systems for Patellofemoral Instability Diagnosis and Treatment

Biofeedback devices: a contribute to Parkinson’s desease

Design and development of an anti-fall cane prototype

Senior-oriented robotic devices and algorithms for personalized fall prediction and prevention

Adaptive shared-control of a robotic walker to improve human-robot cooperation in gait biomechanical rehabilitation

Study of design issues in a prototype lower-limb prosthesis – proof-of-concept in a 3D printed model

Real-Time Patient Pose Estimation on a Smart Walker

Instrumentation of a cane to detect and prevent falls

First Advances in Near Fall Detection and Prediction when using a Walker

Assist-As-Needed EMG-based Control Strategy for Wearable Powered Assistive Devices

Feedback-Error Learning Control for Powered Assistive Devices

EarNav – A Navigation System for Otology Surgeries

Neuromechanical and Environment Aware Machine Learning Framework for Human Locomotion Intent Recognition

An hybrid approach to humanoid locomotion: blending rhythmic primitives and feet placement strategies

Biofeedback system to improve the human-machine interaction

Recognition of Gait Patterns in Human Motor Disorders Using Machine Learning

Towards a Human-in-the-Loop Control for a Smart Orthotic System

Smart Wearable Orthosis to Assist Impaired Human Waking

Exploring the Potentialities of the Leap Motion as a Human- Computer Interaction Solution in the Operating Room

Wearable muscle force sensory system- MuscleLab

Development of intuitive graphical applications for interaction with a smart wearable orthotic system

Functional Electrical Stimulation for Gait Rehabilitation

University of Minho - Dept. of Industrial Electronics - CMEMS
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CMEMS is supported by the Portuguese Foundation for Science and Technology (FCT) under the scope of the strategic funding UIDB/4436/2020, and UIDP/4436//2020.
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