Abstract
This paper presents an approach that helps distinguish expert and novice performance easily by observing the sensor data without having to understand nor apply models to the sensor signal. The method consists of plotting the sensor data and identifying irregularities. We corroborate, with the help of sensors, that expert performances are smoother, contain fewer irregularities, and have consistently uniform patterns than novice performances. In this paper, we present six different cases pointing out this assertion, namely bachata and salsa dances, tennis swings, football penalty kicks, badminton, and running.
Original language | English |
---|---|
Title of host publication | CrossMMLA 2023 |
Subtitle of host publication | Leveraging Multimodal Data for Generating Meaningful Feedback |
Editors | Daniele Di Mitri , Namrata Srivastava , Roberto Martinez-Maldonado, Mutlu Cukurova |
Publisher | CEUR-WS |
Pages | 43-48 |
Number of pages | 6 |
Volume | 3439 |
Publication status | Published - 2023 |
Event | CrossMMLA 2023: Leveraging Multimodal Data for Generating Meaningful Feedback - Arlington, United States Duration: 13 Mar 2023 → 17 Mar 2023 https://crossmmla.org/ |
Publication series
Name | CEUR Workshop procedings |
---|---|
Publisher | CEUR |
Volume | 3439 |
ISSN (Electronic) | 1613-0073 |
Workshop
Workshop | CrossMMLA 2023 |
---|---|
Abbreviated title | CrossMMLA 2023 |
Country/Territory | United States |
City | Arlington |
Period | 13/03/23 → 17/03/23 |
Internet address |
Keywords
- Expertise
- Deliberate practice
- Sensors