Evaluation of Machine Learning Algorithms for Classification of EEG Signals
In brain–computer interfaces (BCIs), it is crucial to process brain signals to improve the accuracy of the classification of motor movements. Machine learning (ML) algorithms such as artificial neural networks (ANNs), linear discriminant analysis (LDA ...
Francisco Javier Ramírez-Arias +7 more
doaj +1 more source
Building the Evryscope: Hardware Design and Performance [PDF]
The Evryscope is a telescope array designed to open a new parameter space in optical astronomy, detecting short timescale events across extremely large sky areas simultaneously. The system consists of a 780 MPix 22-camera array with an 8150 sq.
Corbett, Henry T. +6 more
core +3 more sources
The Taiwanese-American Occultation Survey: The Multi-Telescope Robotic Observatory [PDF]
The Taiwanese-American Occultation Survey (TAOS) operates four fully automatic telescopes to search for occultations of stars by Kuiper Belt Objects. It is a versatile facility that is also useful for the study of initial optical GRB afterglows.
Alcock, C. +20 more
core +2 more sources
Measurement of Upper Limb Range of Motion Using Wearable Sensors: A Systematic Review
Background Wearable sensors are portable measurement tools that are becoming increasingly popular for the measurement of joint angle in the upper limb. With many brands emerging on the market, each with variations in hardware and protocols, evidence to ...
Corrin P. Walmsley +5 more
doaj +1 more source
Brain-Computer Interface meets ROS: A robotic approach to mentally drive telepresence robots [PDF]
This paper shows and evaluates a novel approach to integrate a non-invasive Brain-Computer Interface (BCI) with the Robot Operating System (ROS) to mentally drive a telepresence robot.
Antonello, Morris +4 more
core +2 more sources
Background The aging of the population and the progressive increase of life expectancy in developed countries is leading to a high incidence of age-related cerebrovascular diseases, which affect people’s motor and cognitive capabilities and might result ...
José M. Catalán +13 more
doaj +1 more source
Feasibility of Manual Teach-and-Replay and Continuous Impedance Shaping for Robotic Locomotor Training Following Spinal Cord Injury [PDF]
Robotic gait training is an emerging technique for retraining walking ability following spinal cord injury (SCI). A key challenge in this training is determining an appropriate stepping trajectory and level of assistance for each patient, since patients ...
Beres-Jones, Janell A. +4 more
core +1 more source
Due to the recent rise in the use of lower-limb exoskeletons as an alternative for gait rehabilitation, gait phase detection has become an increasingly important feature in the control of these devices.
Miguel D. Sánchez Manchola +3 more
doaj +1 more source
An Open-Source 7-Axis, Robotic Platform to Enable Dexterous Procedures within CT Scanners
This paper describes the design, manufacture, and performance of a highly dexterous, low-profile, 7 Degree-of-Freedom (DOF) robotic arm for CT-guided percutaneous needle biopsy.
Norbash, Alexander M. +3 more
core +1 more source
Wireless recording of the calls of Rousettus aegyptiacus and their reproduction using electrostatic transducers [PDF]
Bats are capable of imaging their surroundings in great detail using echolocation. To apply similar methods to human engineering systems requires the capability to measure and recreate the signals used, and to understand the processing applied to ...
D A Waters +13 more
core +1 more source

