Feature Engineering For Sensor Data
Feature Engineering for Sensor Data is a domain-specific methodology within the broader field of feature engineering that systematically transforms raw sensor measurements into discriminatory and informative representations through signal processing, statistical analysis, and domain knowledge to enhance the performance of machine learning models in sensing applications.
53
Publications
2.6K
Citations
202
Authors
99
Institutions
Publications per year
2017–2026
32
53
Indoor navigation using a diverse set of cheap, wearable sensors
Andrew R. Golding, Neal Lesh · 2003 · 147 citations
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99
University of California, Berkeley
Berkeley, United States
2 h-index
3 publications
135 citations
Ministry of Education of the People's Republic of China
Beijing, China
2 h-index
2 publications
214 citations
University of Michigan
Ann Arbor, United States
2 h-index
5 publications
89 citations
Nanyang Technological University
Singapore, Singapore
2 h-index
8 publications
554 citations

Fuzhou University
Fuzhou, China
2 h-index
6 publications
596 citations
Tianjin University
Tianjin, China
2 h-index
6 publications
114 citations

Saarland University
Saarbrücken, Germany
1 h-index
3 publications
78 citations

University of Twente
Enschede, The Netherlands
1 h-index
1 publications
32 citations
1–8 of 99
3 publications · 81 citations
3
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2 publications · 153 citations
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2 publications · 558 citations
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2 publications · 155 citations
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2 publications · 99 citations
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