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| | = Introduction = |
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| '''''<big>Work in progress</big>'''''
| | * Overview of the paradigm |
| | * Purpose of wiki |
| | * Audience ? |
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| 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.
| | = Methodology = |
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| = Characterise the noise = | | == Experimental setup == |
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| == For the cell == | | == Procedure == |
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| With the grip force paradigm, we are looking for millinewtons variations so it requires to be careful on the protocol design and the sensor characteristics. 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.
| | = Technical considerations = |
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| === TIPPA === | | == Sensor calibration == |
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| Hold the sensor and release it slowly above a box of foam until it drops. After doing it multiple times, retrieve drop dynamics.
| | == Electrical Noise == |
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| | == Data logging and Sampling rates |
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| | = Methodological Aspects = |
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| <blockquote>
| | == Micro-variations detection == |
| 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.
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| 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.
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| [[File: Tippa_lyon.png | 800px]]
| | == Error and Sensitvity Analysis |
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| </blockquote> (Capra & Berthaut, Submitted)
| | == Statistical Analysis Methods == |
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| === Confort === | | = Comparisons and Benchmarks Across Teams = |
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| Record the confort value for X participants when holding the sensor during 60 seconds
| | == Team-specific Modifications == |
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| === Robot Test === | | == Standardized Tests for Comparison == |
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| Use a robot to push on the cell X times.
| | == Data Sharing and Reproducibility == |
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| === Controlled weight === | | = Case Studies = |
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| Grip force measurement with controlled weight of 1g, 2g, ... Compare mean force and variations recorded with the sensor
| | = Conclusion = |
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| == For the setup == | | = References = |
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| Record Grip Force when the sensor is just put on the table without interaction.
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| Temporal and frequency analysis
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| = TIPS =
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| * 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.
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| * Use a powerbank for electrical supply
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Introduction
- Overview of the paradigm
- Purpose of wiki
- Audience ?
Methodology
Experimental setup
Procedure
Technical considerations
Sensor calibration
Electrical Noise
== Data logging and Sampling rates
Methodological Aspects
Micro-variations detection
== Error and Sensitvity Analysis
Statistical Analysis Methods
Comparisons and Benchmarks Across Teams
Team-specific Modifications
Standardized Tests for Comparison
Data Sharing and Reproducibility
Case Studies
Conclusion
References