Name
Abstract | ||
|---|---|---|
The objective of this work is the development of a learning system for the automatic assessment of balance abilities in elderly people. The system is based on estimating the Berg Balance Scale (BBS) score from the stream of sensor data gathered by a Wii Balance Board. The scientific challenge tackled by our investigation is to assess the feasibility of exploiting the richness of the temporal signals gathered by the balance board for inferring the complete BBS score based on data from a single BBS exercise. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.engappai.2017.08.018 | Engineering Applications of Artificial Intelligence |
Keywords | Field | DocType |
Balance assessment,Reservoir computing,Echo State Network,Learning with temporal data,Berg Balance Scale | Data mining,Computer science,Balance board,Temporal database,Echo state network,Learning models,Artificial intelligence,Reservoir computing,Artificial neural network,Machine learning,Berg Balance Scale,Approximation error | Journal |
Volume | Issue | ISSN |
66 | C | 0952-1976 |
Citations | PageRank | References |
5 | 0.51 | 22 |
Authors | ||
11 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Davide Bacciu | 1 | 222 | 35.96 |
| Stefano Chessa | 2 | 1385 | 101.86 |
| Claudio Gallicchio | 3 | 336 | 32.18 |
| Alessio Micheli | 4 | 713 | 60.24 |
| Luca Pedrelli | 5 | 7 | 0.88 |
| Erina Ferro | 6 | 263 | 35.31 |
| Luigi Fortunati | 7 | 13 | 1.63 |
| Davide La Rosa | 8 | 23 | 5.00 |
| Filippo Palumbo | 9 | 132 | 16.70 |
| F Vozzi | 10 | 26 | 6.84 |
| Oberdan Parodi | 11 | 53 | 13.16 |