Human Activity Classification Using Multilayer Perceptron
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F21%3A10248107" target="_blank" >RIV/61989100:27240/21:10248107 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/1424-8220/21/18/6207" target="_blank" >https://www.mdpi.com/1424-8220/21/18/6207</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/s21186207" target="_blank" >10.3390/s21186207</a>
Alternative languages
Result language
angličtina
Original language name
Human Activity Classification Using Multilayer Perceptron
Original language description
The number of smart homes is rapidly increasing. Smart homes typically feature functions such as voice-activated functions, automation, monitoring, and tracking events. Besides comfort and convenience, the integration of smart home functionality with data processing methods can provide valuable information about the well-being of the smart home residence. This study is aimed at taking the data analysis within smart homes beyond occupancy monitoring and fall detection. This work uses a multilayer perceptron neural network to recognize multiple human activities from wrist- and ankle-worn devices. The developed models show very high recognition accuracy across all activity classes. The cross-validation results indicate accuracy levels above 98% across all models, and scoring evaluation methods only resulted in an average accuracy reduction of 10%.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/EF17_049%2F0008425" target="_blank" >EF17_049/0008425: A Research Platform focused on Industry 4.0 and Robotics in Ostrava Agglomeration</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Sensors. Vol. 20
ISSN
1424-8220
e-ISSN
1424-8220
Volume of the periodical
21
Issue of the periodical within the volume
18
Country of publishing house
CH - SWITZERLAND
Number of pages
15
Pages from-to
nestrankovano
UT code for WoS article
000699984700001
EID of the result in the Scopus database
2-s2.0-85117739813