On the Temporal Behavior of EEG Recorded during Real Finger Movement

2011 ◽  
pp. 335-347 ◽  
Author(s):  
Bashar Awwad Shiekh Hasan
Keyword(s):  
Finger Movement ◽  
Temporal Behavior

A novel virtual reality based finger movement training system to investigate mechanisms of training induced plasticity

2009 ◽  
Vol 36 (S 02) ◽  
Author(s):  
R Gentner ◽  
A Hefny ◽  
W Farhan ◽  
F Segor ◽  
D Dees ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Training System ◽  
Finger Movement ◽  
Movement Training

ViFin

2021 ◽  
Vol 5 (1) ◽  
pp. 1-25
Author(s):  
Wenqiang Chen ◽  
Lin Chen ◽  
Meiyi Ma ◽  
Farshid Salemi Parizi ◽  
Shwetak Patel ◽  
...  
Keyword(s):  
Real Time ◽  
Real World ◽  
Wearable Devices ◽  
User Studies ◽  
Finger Movement ◽  
Writing System ◽  
Time System ◽  
Real Time System ◽  
Input Devices ◽  
A New Technique

Wearable devices, such as smartwatches and head-mounted devices (HMD), demand new input devices for a natural, subtle, and easy-to-use way to input commands and text. In this paper, we propose and investigate ViFin, a new technique for input commands and text entry, which harness finger movement induced vibration to track continuous micro finger-level writing with a commodity smartwatch. Inspired by the recurrent neural aligner and transfer learning, ViFin recognizes continuous finger writing, works across different users, and achieves an accuracy of 90% and 91% for recognizing numbers and letters, respectively. We quantify our approach's accuracy through real-time system experiments in different arm positions, writing speeds, and smartwatch position displacements. Finally, a real-time writing system and two user studies on real-world tasks are implemented and assessed.

Finger Movement Classification for an Electrocorticographic BCI

2007 ◽  
Author(s):  
Pradeep Shenoy ◽  
Kai J. Miller ◽  
Jeffrey G. Ojemann ◽  
Rajesh P.N. Rao
Keyword(s):  
Finger Movement ◽  
Movement Classification

Femtosecond temporal behavior measurement of Kerr-like cascaded second-order non-linearities

1998 ◽  
Vol 154 (5-6) ◽  
pp. 345-349 ◽  
Author(s):  
O. Albert ◽  
J. Etchepare
Keyword(s):  
Second Order ◽  
Temporal Behavior

Temporal Properties of Responses to Broadband Noise in the Auditory Nerve

2004 ◽  
Vol 91 (5) ◽  
pp. 2051-2065 ◽  
Author(s):  
Dries H. G. Louage ◽  
Marcel van der Heijden ◽  
Philip X. Joris
Keyword(s):  
Fourier Analysis ◽  
Auditory Nerve ◽  
Phase Locking ◽  
Strong Dependence ◽  
Peak Height ◽  
Nerve Fibers ◽  
Broadband Noise ◽  
Temporal Information ◽  
Temporal Behavior ◽  
Locking Range

Temporal information in the responses of auditory neurons to sustained sounds has been studied mostly with periodic stimuli, using measures that are based on Fourier analysis. Less information is available on temporal aspects of responses to nonperiodic wideband sounds. We recorded responses to a reference Gaussian noise and its polarity-inverted version in the auditory nerve of barbiturate-anesthetized cats and used shuffled autocorrelograms (SACs) to quantify spike timing. Two metrics were extracted from the central peak of autocorrelograms: the peak-height and the width at halfheight. Temporal information related to stimulus fine-structure was isolated from that to envelope by subtracting or adding responses to the reference and inverted noise. Peak-height and halfwidth generally behaved as expected from the existing body of data on phase-locking to pure tones and sinusoidally amplitude-modulated tones but showed some surprises as well. Compared with synchronization to low-frequency tones, SACs reveal large differences in temporal behavior between the different classes of nerve fibers (based on spontaneous rate) as well as a strong dependence on characteristic frequency (CF) throughout the phase-locking range. SACs also reveal a larger temporal consistency (i.e., tendency to discharge at the same point in time on repeated presentation of the same stimulus) in the responses to the stochastic noise stimulus than in the responses to periodic tones. Responses at high CFs reflect envelope phase-locking and are consistent with previous reports using sinusoidal AM. We conclude that the combined use of broadband noise and SAC analysis allow a more general characterization of temporal behavior than periodic stimuli and Fourier analysis.

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