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Analysis of Human Action Recognition Features in Person Identification Systems for Anti-Bullying Applications

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Gian Luca MarcialisAuthors Info & Claims

HCAIep '24: Proceedings of the 2024 Conference on Human Centred Artificial Intelligence - Education and Practice

Page 58

https://doi.org/10.1145/3701268.3701288

Published: 02 December 2024 Publication History

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Abstract

This study examines the privacy implications of using Human Activity Recognition (HAR) features for violent action detection in the fight against bullying. Given the sensitive nature of such applications, these systems must comply with privacy regulations, such as the General Data Protection Regulation (GDPR). Our analysis focuses on whether the features commonly employed in HAR systems comply with privacy regulations, particularly regarding the risk of inadvertently exposing personal identities when the data includes sensitive biometric information. The findings, derived from the development of a personal recognition system based on movement data captured by mobile device sensors, underscore the need for stringent privacy safeguards in HAR systems.

References

[1]

Vincenzo Gattulli, Donato Impedovo, Giuseppe Pirlo, and Lucia Sarcinella. 2023. Human activity recognition for the identification of bullying and cyberbullying using smartphone sensors. Electronics 12, 2 (2023), 261.

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[2]

Elangovan Ramanujam, Thinagaran Perumal, and S Padmavathi. 2021. Human activity recognition with smartphone and wearable sensors using deep learning techniques: A review. IEEE Sensors Journal 21, 12 (2021), 13029–13040.

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HCAIep '24: Proceedings of the 2024 Conference on Human Centred Artificial Intelligence - Education and Practice

December 2024

69 pages

ISBN:9798400711596

DOI:10.1145/3701268

Editors:
Keith Nolan
TU Dublin
,
Rosemary Monahan
Maynooth University
,
Stefano Marrone
Universita Degli Studi Di Napoli Federico II
,
Huib Aldewereld
HU University of Applied Sciences Utrecht

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s).

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Association for Computing Machinery

New York, NY, United States

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Published: 02 December 2024

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HCAIep '24

HCAIep '24: Human Centred Artificial Intelligence - Education and Practice

December 2 - 3, 2024

Naples, Italy

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Cyberbullying and Traditional Bullying: The Experiences of Poly-Victimization Among Diverse Youth

Cyberbullying and traditional bullying involvement among heterosexual and non-heterosexual adolescents, and their associations with age and gender

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