Data

Inactivity detection in the home

Monash University
Ingrid Zukerman (Aggregated by) Masud Moshtaghi (Aggregated by) R. Andrew Russell (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.26180/28847315.v1&rft.title=Inactivity detection in the home&rft.identifier=https://doi.org/10.26180/28847315.v1&rft.publisher=Monash University&rft.description=This research views abnormally long periods of inactivity as indicators of unsafe situations, and presents three models of the distribution of inactivity periods obtained from unintrusive sensor observations.&rft.creator=Ingrid Zukerman&rft.creator=Masud Moshtaghi&rft.creator=R. Andrew Russell&rft.date=2025&rft_rights=CC-BY-4.0&rft_subject=Inactivity detection&rft_subject=Safe movement in the home&rft_subject=Artificial intelligence not elsewhere classified&rft.type=dataset&rft.language=English Access the data
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Full description

This research views abnormally long periods of inactivity as indicators of unsafe situations, and presents three models of the distribution of inactivity periods obtained from unintrusive sensor observations.

Issued: 2025-04-23

Created: 2025-04-23

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Subjects
Artificial intelligence not elsewhere classified | Inactivity detection | Safe movement in the home |

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ACN 633 798 857