Analyzing the Perceptual Attributes of Electro-tactile Stimuli as Function of Various Signal Properties
Rahimi, M.; Jiang, F.; Shen,, Y.
Show abstract
This study is designed to determine the proper electrical signals that induce various perceptual qualities. These perceptions are chosen from a wide range of feelings, comfort and even surface qualities such as smoothness or flatness. The goal is to derive the relationship between the electrical signal properties (i.e. voltage, frequency and duty cycle) and the perceived qualities which are understood by human observers and reveal any pattens in their reports. A total of 144 measurements are collected from 8 participants. The results are analyzed using numerous statistical methods. In the end, the governing factors are identified and a signal with specific properties is is determined for each of the perception qualities. A great number of plots are included in this study to facilitate the process of choosing the appropriate signal for each factor.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- A machine-learning Approach for Stress Detection Using Wearable Sensors in Free-living Environments 93%
- Comparing physiological impacts of positive pressure ventilation versus self-breathing via a versatile cardiopulmonary model incorporating a novel alveoli opening mechanism 91%
- Identification of Myocardial Infarction (MI) Probability from Imbalanced Medical Survey Data: An Artificial Neural Network (ANN) with Explainable AI (XAI) Insights 91%
Similar papers in this journal
- A computational study on the role of parameters for identification of thyroid nodules by infrared images (and its comparison with real data) 95%
- Measuring Repositioning in Home Care for Pressure Injury Prevention and Management 92%
- Comparison of wearable and clinical devices for acquisition of peripheral nervous system signals 92%
Similar papers in this journal
- Detection of Static, Dynamic, and No Tactile Friction Based on Non-linear dynamics of EEG Signals: A Preliminary Study 97%
- Clustering of Countries for COVID-19 Cases based on Disease Prevalence, Health Systems and Environmental Indicators 92%
- Modelling, Analysis, and Optimization of Three-Dimensional Restricted Visual Field Metric-Free Swarms 90%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.