TY - GEN
T1 - Automatic Help Summoning Through Speech Analysis on Mobile Devices
AU - Małysiak-Mrozek, Bożena
AU - Wojaczek, Paweł
AU - Tokarz, Krzysztof
AU - Sunderam, Vaidy
AU - Mrozek, Dariusz
AU - Lamirel, Jean Charles
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025
Y1 - 2025
N2 - The aging population has led to an increasing number of elderly individuals living alone, making it crucial to address their need for prompt and effective emergency assistance. Older adults, often facing physical limitations or illnesses, require reliable systems for immediate help during life-threatening situations. To meet this need, smart devices like emergency call systems are being developed, enhancing seniors’ safety and improving health and social care responses. Our research explores how passive and active speech analysis on mobile devices can support automatic emergency assistance. We show that this can be achieved on Edge devices using tiny machine learning (ML) models for wake-word detection, speech-to-text conversion, and intention recognition, paving the way for safer, smarter living environments for seniors.
AB - The aging population has led to an increasing number of elderly individuals living alone, making it crucial to address their need for prompt and effective emergency assistance. Older adults, often facing physical limitations or illnesses, require reliable systems for immediate help during life-threatening situations. To meet this need, smart devices like emergency call systems are being developed, enhancing seniors’ safety and improving health and social care responses. Our research explores how passive and active speech analysis on mobile devices can support automatic emergency assistance. We show that this can be achieved on Edge devices using tiny machine learning (ML) models for wake-word detection, speech-to-text conversion, and intention recognition, paving the way for safer, smarter living environments for seniors.
KW - Internet of Things
KW - Natural Language Processing
KW - intention recognition
KW - older adults
KW - speech analysis
UR - https://www.scopus.com/pages/publications/105010831648
U2 - 10.1007/978-3-031-97573-8_2
DO - 10.1007/978-3-031-97573-8_2
M3 - Conference contribution
AN - SCOPUS:105010831648
SN - 9783031975721
T3 - Lecture Notes in Computer Science
SP - 18
EP - 32
BT - Computational Science – ICCS 2025 Workshops - 25th International Conference, 2025, Proceedings
A2 - Paszynski, Maciej
A2 - Barnard, Amanda S.
A2 - Zhang, Yongjie Jessica
PB - Springer Science and Business Media Deutschland GmbH
T2 - Workshops on Computational Science, which were co-organized with the 25th International Conference on Computational Science, ICCS 2025
Y2 - 7 July 2025 through 9 July 2025
ER -