Correction: Ahmed et al. A Robust Deep Feature Extraction Method for Human Activity Recognition Using a Wavelet Based Spectral Visualisation Technique. Sensors 2024, 24, 4343
Nadeem Ahmed, Md Obaydullah Al Numan, Raihan Kabir, Md Rashedul Islam, Yutaka Watanobe
Abstract
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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TopicsNon-Invasive Vital Sign Monitoring · Anomaly Detection Techniques and Applications · Context-Aware Activity Recognition Systems
There was an error in the original publication [1]. While the authors were working on the further implementation of this research, they noticed this error of reusing the contents from Reference 57.
A correction has been made to Section 4.1, Paragraph 2. The sentence “The dataset encompasses a comprehensive set of 19 Activities of Daily Living (ADL) performed by individuals across different age groups, ranging from ages 19 to 50.” has been updated to “The dataset encompasses a comprehensive set of 19 Activities of Daily Living (ADL) performed by two age groups. Elderly people group was comprised of 15 individuals (8 males aged 60–71 and 7 females aged 62–75) whereas young adults’ group was comprised of 23 participants (both males and females aged 19–30).”.
The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.
The reference list from the paper itself. Each links out to its DOI / PubMed record.