Personal Hygiene Monitoring Under the Shower Using WiFi Channel State Information

Jeroen Klein Brinke, Alessandro Chiumento, Paul J.M. Havinga

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Abstract

Personal hygiene is often used to measure functional independence,
which is how much support someone requires to perform self-care.
By extension, this is often used in the monitoring of (early-stage)
dementia. Current technologies are based on either audiovisual or
wearable technologies, both of which have practical limitations.
The use of (NLOS) radio-frequency based human activity recognition
could provide solutions here. This paper leverages the 802.11n
channel state information to monitor different shower-related activities
(e.g. washing head or body, brushing teeth, and dressing
up) and the degree to which some of these can be monitored, as
well estimating different water pressures used while showering for
multiple locations in the apartment. Wavelet denoising is applied
for filtering and a convolutional neural network is implemented for
classification. Results imply that for coarse-grained activity recognition,
an 퐹1-score of 0.85 is achievable for certain classes, while for
fine-grained this drops to 0.75. Water pressure estimation ranges
from 0.75 to 0.85 between fine-grained and coarse-grained, respectively.
Overall, this paper shows that channel state information can
be successfully employed to monitor variations in different shower
activities, as well as successfully estimating the water pressure in
the shower.
Original languageEnglish
Title of host publication1st Workshop on Computer Human Interaction in IoT Applications
Publication statusAccepted/In press - 17 Feb 2021
Event1st Workshop on Computer Human Interaction in IoT Applications, CHIIoT 2021 - Virtual Event
Duration: 17 Feb 202117 Feb 2021
Conference number: 1

Conference

Conference1st Workshop on Computer Human Interaction in IoT Applications, CHIIoT 2021
Abbreviated titleCHIIoT 2021
CityVirtual Event
Period17/02/2117/02/21

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