PID4TC (Pressure Insole Data for Task Classification)

Citation Author(s):: Patricia O'Sullivan (Tyndall National Institute)

Matteo Menolotto (Tyndall National Institute)
Submitted by:: Patricia O'Sullivan
Last updated:: Mon, 07/08/2024 - 19:58
DOI:: 10.21227/v02f-y781
Data Format:: *.csv

*.txt

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Categories:

Keywords:

Pressure insoles

AI-based classifier

Industry 4.0

ACCESS DATASET CITE

Abstract

The dataset contains pressure insole data from twenty subjects who performed five tasks, comprising of two common daily activities (standing and walking), and three industry-focussed tasks (manual handling, assembly and pick and place). The speed and order in which a given task was completed was not prescribed. The data pertains to the areas of human factors, ergonomics and occupational health and safety research, among others, and enables an understanding of the force distributions involved in common tasks as well as physical and manufacturing type tasks.

Instructions:

Inclusion criteria

· More than 18 years old

· No musculoskeletal disorders

· English speaking

· Capacity to consent

Participants Information

Subject	Sex	Age Range	Weights	Insole Size
01	F	20-29	53.5	EUR39
02	M	20-29	102.7	EUR43
03	M	30-39	67.4	EUR43
04	F	20-29	56.3	EUR39
05	M	20-29	81.0	EUR43
06	M	30-39	66.5	EUR43
07	F	20-29	64.9	EUR43
08	F	30-39	80.8	EUR39
09	F	20-29	66.4	EUR39
10	M	30-39	83.1	EUR45
11	M	30-39	56.7	EUR39
12	F	20-29	62.9	EUR43
13	M	20-29	81.8	EUR43
14	F	20-29	64.0	EUR39
15	F	20-29	59.4	EUR39
16	F	30-39	66.5	EUR39
17	F	30-39	58.0	EUR39
18	M	20-29	93.4	EUR43
19	M	20-29	77.3	EUR43
20	M	60-70	88.8	EUR45

Sensing Technologies

Three sensor loadsol® pressure insoles with a 19cm connector strap were used for data collection; sensors are located on the heel, midfoot and forefoot of the insoles, occupying 30%, 30% and 40% of the insole length respectively. The sample rate is 100Hz. There was a choice of three sizes (European size 39, 43, 45) for participants.

File naming conventions

Each file contains the pressure data of all tasks for one participant, hence file names are the subject number, for example the file named ‘Sub01’ contains all task data for the first subject.

For each insole, force data from the heel, midfoot and forefoot sensors are included, as well as the total force of the foot, which is the sum of all three sensors. See the below table for abbreviations of the sensor data.