An Overall Automated Architecture Based on the Tapping Test Measurement Protocol: Hand Dexterity Assessment through an Innovative Objective Method Article Swipe
Tommaso Di Libero
,
Chiara Carissimo
,
G. Cerro
,
Angela Marie Abbatecola
,
Alessandro Marino
,
Gianfranco Miele
,
Luigi Ferrigno
,
Angelo Rodio
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/s24134133
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3390/s24134133
The present work focuses on the tapping test, which is a method that is commonly used in the literature to assess dexterity, speed, and motor coordination by repeatedly moving fingers, performing a tapping action on a flat surface. During the test, the activation of specific brain regions enhances fine motor abilities, improving motor control. The research also explores neuromuscular and biomechanical factors related to finger dexterity, revealing neuroplastic adaptation to repetitive movements. To give an objective evaluation of all cited physiological aspects, this work proposes a measurement architecture consisting of the following: (i) a novel measurement protocol to assess the coordinative and conditional capabilities of a population of participants; (ii) a suitable measurement platform, consisting of synchronized and non-invasive inertial sensors to be worn at finger level; (iii) a data analysis processing stage, able to provide the final user (medical doctor or training coach) with a plethora of useful information about the carried-out tests, going far beyond state-of-the-art results from classical tapping test examinations. Particularly, the proposed study underscores the importance interdigital autonomy for complex finger motions, despite the challenges posed by anatomical connections; this deepens our understanding of upper limb coordination and the impact of neuroplasticity, holding significance for motor abilities assessment, improvement, and therapeutic strategies to enhance finger precision. The proof-of-concept test is performed by considering a population of college students. The obtained results allow us to consider the proposed architecture to be valuable for many application scenarios, such as the ones related to neurodegenerative disease evolution monitoring.
Related Topics
Concepts
Finger tapping
Tapping
Protocol (science)
Test (biology)
Population
Adaptation (eye)
Computer science
Engineering
Physical medicine and rehabilitation
Human–computer interaction
Simulation
Psychology
Medicine
Neuroscience
Paleontology
Mechanical engineering
Alternative medicine
Audiology
Environmental health
Pathology
Biology
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/s24134133
- https://www.mdpi.com/1424-8220/24/13/4133/pdf?version=1719385245
- OA Status
- gold
- Cited By
- 6
- References
- 56
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4400042684
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4400042684Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/s24134133Digital Object Identifier
- Title
-
An Overall Automated Architecture Based on the Tapping Test Measurement Protocol: Hand Dexterity Assessment through an Innovative Objective MethodWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-06-26Full publication date if available
- Authors
-
Tommaso Di Libero, Chiara Carissimo, G. Cerro, Angela Marie Abbatecola, Alessandro Marino, Gianfranco Miele, Luigi Ferrigno, Angelo RodioList of authors in order
- Landing page
-
https://doi.org/10.3390/s24134133Publisher landing page
- PDF URL
-
https://www.mdpi.com/1424-8220/24/13/4133/pdf?version=1719385245Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/1424-8220/24/13/4133/pdf?version=1719385245Direct OA link when available
- Concepts
-
Finger tapping, Tapping, Protocol (science), Test (biology), Population, Adaptation (eye), Computer science, Engineering, Physical medicine and rehabilitation, Human–computer interaction, Simulation, Psychology, Medicine, Neuroscience, Paleontology, Mechanical engineering, Alternative medicine, Audiology, Environmental health, Pathology, BiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
6Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2024: 4Per-year citation counts (last 5 years)
- References (count)
-
56Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.anatomical | 182 |
| abstract_inverted_index.challenges | 179 |
| abstract_inverted_index.consisting | 88, 114 |
| abstract_inverted_index.dexterity, | 21, 65 |
| abstract_inverted_index.evaluation | 76 |
| abstract_inverted_index.following: | 91 |
| abstract_inverted_index.importance | 170 |
| abstract_inverted_index.literature | 18 |
| abstract_inverted_index.movements. | 71 |
| abstract_inverted_index.performing | 30 |
| abstract_inverted_index.population | 106, 219 |
| abstract_inverted_index.precision. | 210 |
| abstract_inverted_index.processing | 131 |
| abstract_inverted_index.repeatedly | 27 |
| abstract_inverted_index.repetitive | 70 |
| abstract_inverted_index.scenarios, | 239 |
| abstract_inverted_index.strategies | 206 |
| abstract_inverted_index.application | 238 |
| abstract_inverted_index.assessment, | 202 |
| abstract_inverted_index.carried-out | 152 |
| abstract_inverted_index.conditional | 102 |
| abstract_inverted_index.considering | 217 |
| abstract_inverted_index.information | 149 |
| abstract_inverted_index.measurement | 86, 95, 112 |
| abstract_inverted_index.monitoring. | 249 |
| abstract_inverted_index.therapeutic | 205 |
| abstract_inverted_index.underscores | 168 |
| abstract_inverted_index.architecture | 87, 232 |
| abstract_inverted_index.capabilities | 103 |
| abstract_inverted_index.connections; | 183 |
| abstract_inverted_index.coordination | 25, 191 |
| abstract_inverted_index.coordinative | 100 |
| abstract_inverted_index.improvement, | 203 |
| abstract_inverted_index.interdigital | 171 |
| abstract_inverted_index.neuroplastic | 67 |
| abstract_inverted_index.non-invasive | 118 |
| abstract_inverted_index.significance | 198 |
| abstract_inverted_index.synchronized | 116 |
| abstract_inverted_index.Particularly, | 164 |
| abstract_inverted_index.biomechanical | 60 |
| abstract_inverted_index.examinations. | 163 |
| abstract_inverted_index.neuromuscular | 58 |
| abstract_inverted_index.participants; | 108 |
| abstract_inverted_index.physiological | 80 |
| abstract_inverted_index.understanding | 187 |
| abstract_inverted_index.neuroplasticity, | 196 |
| abstract_inverted_index.proof-of-concept | 212 |
| abstract_inverted_index.state-of-the-art | 157 |
| abstract_inverted_index.neurodegenerative | 246 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 95 |
| corresponding_author_ids | https://openalex.org/A5001086371 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 8 |
| corresponding_institution_ids | https://openalex.org/I129627893 |
| citation_normalized_percentile.value | 0.80906264 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |