Name
Abstract | ||
|---|---|---|
In this paper, we propose a multimodal system for detecting human activity and interaction patterns in a nursing home. Activities of groups of people are firstly treated as interaction patterns between any pair of partners and are then further broken into individual activities and behavior events using a multi-level context hierarchy graph. The graph is implemented using a dynamic Bayesian network to statistically model the multi-level concepts. We have developed a coarse-to-fine prototype system to illustrate the proposed concept. Experimental results have demonstrated the feasibility of the proposed approaches. The objective of this research is to automatically create concise and comprehensive reports of activities and behaviors of patients to support physicians and caregivers in a nursing facility. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1145/1027933.1027949 | ICMI |
Keywords | Field | DocType |
nursing facility,multimodal detection,proposed concept,multi-level concept,behavior event,multi-level context hierarchy graph,nursing home,nursing home environment,multimodal system,human interaction event,coarse-to-fine prototype system,interaction pattern,stochastic model,human interaction,stochastic modeling,dynamic bayesian network,statistical model,multimodal | Social group,Nursing facility,Graph,Nursing,Computer science,Human interaction,Human–computer interaction,Hierarchy,Group activity,Dynamic Bayesian network | Conference |
ISBN | Citations | PageRank |
1-58113-995-0 | 12 | 0.82 |
References | Authors | |
22 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Datong Chen | 1 | 380 | 28.82 |
| Robert Malkin | 2 | 85 | 10.30 |
| Jie Yang | 3 | 2856 | 270.24 |