Name
Title | ||
|---|---|---|
Using additional training sensors to improve single-sensor complex activity recognition |
Abstract | ||
|---|---|---|
ABSTRACT We propose a method for single-sensor based activity recognition using multiple sensors during training time. The proposed method, based on learning a shared representation space, can be used to improve the accuracy and F-score of complex activity recognition with a single on-body accelerometer sensor by leveraging data from other sensors at training time. Results show improvements of 16% in accuracy and 20% in F-score. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1145/3460421.3480421 | Ubiquitous Computing |
Keywords | DocType | ISSN |
activity recognition, additional information, Smartphone- and smartwatch-based systems and applications, Machine learning | Conference | 1550-4816 |
Citations | PageRank | References |
1 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Paula Lago | 1 | 3 | 4.76 |
| Moe Matsuki | 2 | 2 | 2.07 |
| Kohei Adachi | 3 | 1 | 1.69 |
| Sozo Inoue | 4 | 176 | 58.17 |