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'''''<big>Work in progress</big>'''''
= Introduction =


Grip Force paradigm is the measurement of the pressure applied on a small sensor held in hands in Newton. In this paradigm, we are looking for the unconscious micro variations of this force which is in millinewton. The sensor evaluates grip force through electrical measurements. Additionally, since we are looking for micro-variations, the electrical noise of the experimental setup also needs to be evaluated.
* Overview of the paradigm
Grip Force paradigm is the measurement of the pressure applied on a small sensor held in hands in Newton. In this paradigm, we are looking for the unconscious micro variations of this force which is in millinewton. The sensor evaluates grip force through electrical measurements.


= Characterise the noise =
* Purpose of wiki
Exchange about the grip force paradigm method to develop the technique and his standardisation.


== For the cell ==
Propose guidelines and tips to use the grip force paradigm and develop the technique in various fields
 
* Audience ?
Every research team which is interested in this new method can use this wiki to follow the standards of the community.
 
= Methodology =
 
== Experimental setup ==
 
=== TIPS ===
 
* The use of a laptop to record Grip Force can add some noise to the recording. It's better to use a desktop computer to get a cleaner signal.
* Use a powerbank for electrical supply
 
== Procedure ==
 
= Technical considerations =
 
== Sensor calibration ==
 
== Electrical Noise ==
 
Since we are looking for micro-variations and the sensor measure force through electrical signal, the electrical noise of the experimental setup needs to be evaluated.
 
'''Proposition of a test :'''
 
Record Grip Force when the sensor is just put on the table without interaction.
 
Temporal and frequency analysis on the recorded data.
 
== Data logging and Sampling rates ==
 
= Methodological Aspects =
 
== Micro-variations detection ==
 
== Error and Sensitvity Analysis ==
 
=== Controlled weight ===
 
Grip force measurement with controlled weight of 1g, 2g, ... Compare mean force and variations recorded with the sensor
 
== Statistical Analysis Methods ==
 
 
=== Cluster-based permutation tests ===
 
=== Bayesian approach ===
 
= Comparisons and Benchmarks Across Teams =
 
== Team-specific Modifications ==
 
There is multiple sensor models possible to record grip force and the sensor can also be customised by research teams like with aluminium plates, or plastic or metal ones. Therefore, it is important to report the characteristics of the sensors used in studies for experimental setup's documentation and ensure replicability.
 
== Standardized Tests for Comparison ==


=== TIPPA ===
=== TIPPA ===


Hold the sensor and release it slowly above a box of foam until it drops. After doing it multiple times, retrieve drop dynamics.
Hold the sensor and release it slowly above a box of foam until it drops. After doing it multiple times, retrieve drop dynamics.
With the grip force paradigm, we are looking for millinewtons variations so it requires to be careful on the protocol design and the sensor calibration. There is multiple sensor models possible to record grip force and the sensor can also be customised by research teams like with aluminium plates, or plastic or metal ones.


<blockquote>
==== Lillies ====
Recording force variations in the order of millinewtons requires meticulous attention to both protocol design and sensor calibration. Numerous sensor models exist, and they can be customised by research teams, such as with aluminium plates, as in our study, or with plastic or metal alternatives, potentially altering measurements. Therefore, it is crucial to characterise the sensors used in studies to accurately document the experimental setup and ensure replicability. However, it is impractical to analyse every sensor’s surface adhesion properties, ease of grip, or individual characteristics such as skin texture and sweat levels. In this study, we introduce TIPPA, a methodological contribution aimed at optimising signal quality and facilitating study replicability. During the preparation of this study, we asked ten participants (laboratory colleagues) to hold the grip force sensor between their fingers (see Figure 2a) and then release it as gradually as possible over a box filled with foam cubes until it falls. This operation was repeated ten times. We obtained a signal with a relatively consistent dynamic (resembling a droplet shape, or "tippa" in Finnish, see Figure 2b), from which we extracted several characteristics: peak height, grasp dynamics, average duration of the first phase (first release), the second relaxation phase (slow release), and finally, drop value. We believe these characteristics (detailed on Table 2c) complement those typically presented in the literature ([45]) to construct the "physical signature" of our sensor.
We encourage future Grip Force research projects to adopt similar practices to cross-analyse the impact of sensor configuration on the type of measurements obtained.


[[File: Tippa_lyon.png | 800px]]
[[File: Tippa_lyon.png | 800px | Drop dynamics of our cell]]


</blockquote> (Capra & Berthaut, Submitted)


=== Confort ===
=== Confort ===
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Use a robot to push on the cell X times.
Use a robot to push on the cell X times.


=== Controlled weight ===
== Data Sharing and Reproducibility ==
 
Grip force measurement with controlled weight of 1g, 2g, ... Compare mean force and variations recorded with the sensor
 
== For the setup ==


Record Grip Force when the sensor is just put on the table without interaction.
= Case Studies =


Temporal and frequency analysis
= Conclusion =


= TIPS =  
= References =
 
* The use of a laptop to record Grip Force can add some noise to the recording. It's better to use a desktop computer to get a cleaner signal.
* Use a powerbank for electrical supply

Dernière version du 29 octobre 2024 à 15:15

Work in Progress

Introduction

  • Overview of the paradigm

Grip Force paradigm is the measurement of the pressure applied on a small sensor held in hands in Newton. In this paradigm, we are looking for the unconscious micro variations of this force which is in millinewton. The sensor evaluates grip force through electrical measurements.

  • Purpose of wiki

Exchange about the grip force paradigm method to develop the technique and his standardisation.

Propose guidelines and tips to use the grip force paradigm and develop the technique in various fields

  • Audience ?

Every research team which is interested in this new method can use this wiki to follow the standards of the community.

Methodology

Experimental setup

TIPS

  • The use of a laptop to record Grip Force can add some noise to the recording. It's better to use a desktop computer to get a cleaner signal.
  • Use a powerbank for electrical supply

Procedure

Technical considerations

Sensor calibration

Electrical Noise

Since we are looking for micro-variations and the sensor measure force through electrical signal, the electrical noise of the experimental setup needs to be evaluated.

Proposition of a test :

Record Grip Force when the sensor is just put on the table without interaction.

Temporal and frequency analysis on the recorded data.

Data logging and Sampling rates

Methodological Aspects

Micro-variations detection

Error and Sensitvity Analysis

Controlled weight

Grip force measurement with controlled weight of 1g, 2g, ... Compare mean force and variations recorded with the sensor

Statistical Analysis Methods

Cluster-based permutation tests

Bayesian approach

Comparisons and Benchmarks Across Teams

Team-specific Modifications

There is multiple sensor models possible to record grip force and the sensor can also be customised by research teams like with aluminium plates, or plastic or metal ones. Therefore, it is important to report the characteristics of the sensors used in studies for experimental setup's documentation and ensure replicability.

Standardized Tests for Comparison

TIPPA

Hold the sensor and release it slowly above a box of foam until it drops. After doing it multiple times, retrieve drop dynamics.

Lillies

Drop dynamics of our cell


Confort

Record the confort value for X participants when holding the sensor during 60 seconds

Robot Test

Use a robot to push on the cell X times.

Data Sharing and Reproducibility

Case Studies

Conclusion

References