Name
Abstract | ||
|---|---|---|
Seeking to extend the functional capability of the elderly, we explore the use of probabilistic methods to learn and recognise human activity in order to provide monitoring support. We propose a novel approach to learning the hierarchical structure of sequences of human actions through the application of the hierarchical hidden Markov model (HHMM). Experimental results are presented for learning and recognising sequences of typical activities in a home. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/PERCOM.2003.1192766 | PerCom |
Keywords | Field | DocType |
probabilistic method,stochastic processes,navigation,behavioural sciences,pattern recognition,robots,probabilistic methods,hidden markov models,probability,geriatrics | Computer science,Hierarchical hidden Markov model,Probabilistic method,Artificial intelligence,Behavioural sciences,Hidden Markov model,Machine learning | Conference |
ISBN | Citations | PageRank |
0-7695-1893-1 | 36 | 3.75 |
References | Authors | |
7 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sebastian Lühr | 1 | 123 | 8.04 |
| Hung Hai Bui | 2 | 1188 | 112.37 |
| Svetha Venkatesh | 3 | 4190 | 425.27 |
| Geoff A. W. West | 4 | 562 | 82.46 |