The Design and Implementation of a Real-Time Attention Recognition/Feedback System in Online Learning Course

2017 ◽  
Author(s):  
Pei-Yu Cheng ◽  
Yu-Cheng Chien ◽  
Yueh-Min Huang
Keyword(s):  
Online Learning ◽  
Real Time ◽  
Feedback System ◽  
Design And Implementation

Design and Implementation of Low Bit-rate Real-time Video Encoder Based on DSP

2011 ◽  
Vol 30 (4) ◽  
pp. 945-948
Author(s):  
Shao-hua Liu ◽  
Zhi-hui Xiong ◽  
Wei-dong Bao ◽  
Mao-jun Zhang
Keyword(s):  
Real Time ◽  
Bit Rate ◽  
Video Encoder ◽  
Low Bit Rate ◽  
Design And Implementation

Therapeutic Smart Feedback System with a Real-Time GUI used after Foot Surgery

2021 ◽  
Author(s):  
Schahrazad Soltane ◽  
Shahad Al-Mutabeq ◽  
Mona Masood ◽  
Rawan Al-Otaibi ◽  
Safiah Abdul Raouf ◽  
...  
Keyword(s):  
Real Time ◽  
Feedback System ◽  
Foot Surgery

Assessing reinforcing versus aversive consequences in a real-time secondhand smoke intervention

2021 ◽  
Author(s):  
Vincent Berardi ◽  
John Bellettiere ◽  
Benjamin Nguyen ◽  
Neil E Klepeis ◽  
Suzanne C Hughes ◽  
...  
Keyword(s):  
Real Time ◽  
Real World ◽  
Secondhand Smoke ◽  
Relative Effectiveness ◽  
Feedback System ◽  
Control Group ◽  
Sensing Technology ◽  
Control Versus ◽  
Particle Counts ◽  
Post Hoc

Abstract Few studies have examined the relative effectiveness of reinforcing versus aversive consequences at changing behavior in real-world environments. Real-time sensing devices makes it easier to investigate such questions, offering the potential to improve both intervention outcomes and theory. This research aims to describe the development of a real-time, operant theory-based secondhand smoke (SHS) intervention and compare the efficacy of aversive versus aversive plus reinforcement contingency systems. Indoor air particle monitors were placed in the households of 253 smokers for approximately three months. Participants were assigned to a measurement-only control group (N = 129) or one of the following groups: 1.) aversive only (AO, N = 71), with aversive audio/visual consequences triggered by the detection of elevated air particle measurements, or 2.) aversive plus reinforcement (AP, N = 53), with reinforcing consequences contingent on the absence of SHS added to the AO intervention. Residualized change ANCOVA analysis compared particle concentrations over time and across groups. Post-hoc pairwise comparisons were also performed. After controlling for Baseline, Post-Baseline daily particle counts (F = 6.42, p = 0.002), % of time >15,000 counts (F = 7.72, p < 0.001), and daily particle events (F = 4.04, p = 0.02) significantly differed by study group. Nearly all control versus AO/AP pair-wise comparisons were statistically significant. No significant differences were found for AO versus AP groups. The aversive feedback system reduced SHS, but adding reinforcing consequences did not further improve outcomes. The complexity of real-world environments requires the nuances of these two contingency systems continue to be explored, with this study demonstrating that real-time sensing technology can serve as a platform for such research.

Sign in / Sign up

Export Citation Format

Share Document