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Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface.
Kalampratsidou, Vilelmini; Kemper, Steven; Torres, Elizabeth B.
Afiliación
  • Kalampratsidou V; Center for Cognitive Science, Rutgers University; Department of Computer Science, Rutgers University; vilelmini.kalabratsidou@gmail.com.
  • Kemper S; Music Department, Mason Gross School of the Arts, Rutgers University.
  • Torres EB; Center for Cognitive Science, Rutgers University; Department of Computer Science, Rutgers University; Psychology Department, Rutgers University; Sensory Motor Integration Lab, Rutgers University; Computational Biomedicine Imaging and Modelling Center, Rutgers University; ebtorres@psych.rutgers.edu.
J Vis Exp ; (171)2021 05 08.
Article en En | MEDLINE | ID: mdl-34028426
ABSTRACT
The fields that develop methods for sensory substitution and sensory augmentation have aimed to control external goals using signals from the central nervous systems (CNS). Less frequent however, are protocols that update external signals self-generated by interactive bodies in motion. There is a paucity of methods that combine the body-heart-brain biorhythms of one moving agent to steer those of another moving agent during dyadic exchange. Part of the challenge to accomplish such a feat has been the complexity of the setup using multimodal bio-signals with different physical units, disparate time scales and variable sampling frequencies. In recent years, the advent of wearable bio-sensors that can non-invasively harness multiple signals in tandem, has opened the possibility to re-parameterize and update the peripheral signals of interacting dyads, in addition to improving brain- and/or body-machine interfaces. Here we present a co-adaptive interface that updates efferent somatic-motor output (including kinematics and heart rate) using biosensors; parameterizes the stochastic bio-signals, sonifies this output, and feeds it back in re-parameterized form as visuo/audio-kinesthetic reafferent input. We illustrate the methods using two types of interactions, one involving two humans and another involving a human and its avatar interacting in near real time. We discuss the new methods in the context of possible new ways to measure the influences of external input on internal somatic-sensory-motor control.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Sensación / Encéfalo Límite: Humans Idioma: En Revista: J Vis Exp Año: 2021 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Sensación / Encéfalo Límite: Humans Idioma: En Revista: J Vis Exp Año: 2021 Tipo del documento: Article