Publication2025
Capsule Neural Network for Inertial Sensor-Based Autism Spectrum Disorder Detection Through Multiple Gait Activities
The record
- Type
- Publication
- Date
- 1 January 2025
- Level
- National
- Journal
- IEEE Region 10 Annual International Conference Proceedings TENCON
- Pages
- 968-972
- Published
- 1 January 2025
- DOI
- 10.1109/tencon66050.2025.11375071
- Scopus ID
- 105034064205
- ISSN
- 21593442
- Authors
- 2
- Open access
- No
- Citations
- 0
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
3 Ensure healthy lives and promote well-being for all at all ages
Capsule neural network with transfer learning achieves 89.09% F1 measure for autism spectrum disorder detection from gait analysis using wearable sensors.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-1.2 Health and well-being
AI-enabled early autism diagnosis supports child development and neurodevelopmental health outcomes.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
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- 1
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Citing this record
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KIIT Deemed to be University. “Capsule Neural Network for Inertial Sensor-Based Autism Spectrum Disorder Detection Through Multiple Gait Activities”. Kortex.