Abrasion Tolerant, Non-Stretchable and Super-Water-Repellent Conductive & Ultrasensitive Pattern for Identifying Slow, Fast, Weak and Strong Human Motions at Diverse Conditions

2021 ◽  
Author(s):  
Supriya Das ◽  
Rajan Singh ◽  
Avijit Das ◽  
Sudipta Bag ◽  
Roy P. Paily ◽  
...  
Keyword(s):  
Response Time ◽  
Mechanical Deformation ◽  
Water Repellent ◽  
Electrical Signals ◽  
Ultrahigh Sensitivity ◽  
Human Motions

The conversion of mechanical deformation into electrical signals is a widely used principle for various relevant applications. Facile & scalable fabrication, ultrahigh-sensitivity, low-response time and uninterrupted performance at severe conditions...

An intrinsically stretchable and ultrasensitive nanofiber-based resistive pressure sensor for wearable electronics

2020 ◽  
Vol 8 (16) ◽  
pp. 5361-5369 ◽  
Author(s):  
Fang-Cheng Liang ◽  
Hau-Jen Ku ◽  
Chia-Jung Cho ◽  
Wei-Cheng Chen ◽  
Wen-Ya Lee ◽  
...  
Keyword(s):  
Response Time ◽  
Pressure Sensor ◽  
Applied Pressure ◽  
Normal Pressure ◽  
Lateral Strain ◽  
Mechanical Stimuli ◽  
Wearable Electronics ◽  
Human Machine Interfaces ◽  
Potential Applications ◽  
Ultrahigh Sensitivity

Nanofiber-based electronics with unique fibrous interlocked microstructures are capable of differentiating various mechanical stimuli, such as normal pressure, lateral strain, and bending. Skin-inspired electronics with an ultrahigh sensitivity of 71.07 kPa−1 under a small applied pressure (<0.06 kPa), a rapid response time (<2 ms), and highly reproducible stability (>5000 cycles) are reported, thereby demonstrating their potential applications in versatile human–machine interfaces.

Temporal Prediction Errors Affect Short-Term Memory Scanning Response Time

2016 ◽  
Vol 63 (6) ◽  
pp. 333-342
Author(s):  
Roberto Limongi ◽  
Angélica M. Silva
Keyword(s):  
Response Time ◽  
Short Term Memory ◽  
Estimation Error ◽  
Predictive Coding ◽  
Time Estimation ◽  
Prediction Errors ◽  
Memory Scanning ◽  
Short Term ◽  
Term Memory ◽  
Temporal Prediction

Abstract. The Sternberg short-term memory scanning task has been used to unveil cognitive operations involved in time perception. Participants produce time intervals during the task, and the researcher explores how task performance affects interval production – where time estimation error is the dependent variable of interest. The perspective of predictive behavior regards time estimation error as a temporal prediction error (PE), an independent variable that controls cognition, behavior, and learning. Based on this perspective, we investigated whether temporal PEs affect short-term memory scanning. Participants performed temporal predictions while they maintained information in memory. Model inference revealed that PEs affected memory scanning response time independently of the memory-set size effect. We discuss the results within the context of formal and mechanistic models of short-term memory scanning and predictive coding, a Bayes-based theory of brain function. We state the hypothesis that our finding could be associated with weak frontostriatal connections and weak striatal activity.

A Response-Time Investigation of Vehicle Stereotypes

2000 ◽  
Author(s):  
Michael Anthony ◽  
Robert W. Fuhrman
Keyword(s):  
Response Time

A Response Time Model on the Role of Spectral and Duration Cues in Vowel Perception

2014 ◽  
Author(s):  
Gabriel Tillman ◽  
Don van Ravenzwaaij ◽  
Scott Brown ◽  
Titia Benders
Keyword(s):  
Response Time ◽  
Time Model ◽  
Vowel Perception ◽  
Response Time Model
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