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Human-machine interface for two-dimensional steering control with the auricular muscles

Silvestro Micera, Solaiman Shokur, Daniel Jose Lins Leal Pinheiro

Human-machine interfaces (HMIs) can be used to decode a user's motor intention to control an external device. People that suffer from motor disabilities, such as spinal cord injury, can benefit from the uses of these interfaces. While many solutions can be ...

FRONTIERS MEDIA SA2023

Identifying uncertainty states during wayfinding in indoor environments: An EEG classification Study

Mahsa Shoaran, Bingzhao Zhu

The researchers used a machine-learning classification approach to better understand neurological features associated with periods of wayfinding uncertainty. The participants (n = 30) were asked to complete wayfinding tasks of varying difficulty in a virtu ...

ELSEVIER SCI LTD2022

De la décoration par les ombres Traduction de méthodes picturales dans l'architecture française des XVIIIème et XIXème siècles

Laura Patricia Joannie Trazic

In the Vitruvian tradition, ornaments are classified into two categories: those that belong to the orders, and the others. If the former' s relief is merely indicated by Vitruvio and Alberti, the latter is simply ignored, thus opening the way to licentia. ...

EPFL2021

Decoding Cognitive States under Varying Difficulty Levels

Ping-Keng Jao

Understanding cognitive states of human under different difficulty levels is useful in improving human-human and human-machine interactions. For example, a crucial factor in designing games is maintaining the engagement of players. An ideal scenario would ...

EPFL2020

Hand exoskeleton device

José del Rocio Millán Ruiz, Luca Randazzo

The invention relates to a hand exoskeleton device having a modular nature. The device is designed to be wearable, portable and light in weight, and comprises from one to ten modules each having an actuating mechanism such as a linear actuator coupled with ...

2019

The Connection Between the Nervous System and Machines: Commentary

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Decades of technological developments have populated the field of brain-machine interfaces and neuroprosthetics with several replacement strategies, neural modulation treatments, and rehabilitation techniques to improve the quality of life for patients aff ...

2019

Brain-spine interface technologies to alleviate gait deficits after Parkinson's disease

Flavio Raschella

Gait and balance deficits are motor disabilities that typically develop late in the progression of Parkinson's disease (PD). These deficits are thought to be the result of dysregulated neural activity in the cortico-basal ganglia-thalamic-cortical motor lo ...

EPFL2019

mano: A Wearable Hand Exoskeleton for Activities of Daily Living and Neurorehabilitation

José del Rocio Millán Ruiz, Luca Randazzo, Inaki Asier Iturrate Gil, Serafeim Perdikis

Hand sensorimotor impairments are among the most common consequences of injuries affecting the central and peripheral nervous systems, leading to a drastic reduction in the quality of life for affected individuals. Combining wearable robotic exoskeletons a ...

Ieee-Inst Electrical Electronics Engineers Inc2018

The effects of haptic-virtual reality game therapy on brain-motor coordination for children with hemiplegia: A pilot study

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Children with hemiplegia have movements' difficulties especially in their upper limbs, these difficulties occur due to the loss of the communication between the brain and the affected side of the body. In this study, visual, audio, and tactile stimulation ...

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Towards Independence: A BCI Telepresence Robot for People with Severe Motor Disabilities

José del Rocio Millán Ruiz, Robert Leeb, Luca Tonin, Tom Edward Carlson

This paper presents an important step forward towards increasing the independence of people with severe motor disabilities, by using brain-computer interfaces (BCI) to harness the power of the Internet of Things. We analyze the stability of brain signals a ...

Ieee-Inst Electrical Electronics Engineers Inc2015