An integrated inferencing framework for context sensing
An integrated inferencing framework for context sensing
复制标题
用于上下文感知的集成推理框架
DOI：
10.1109/itab.2008.4570518
复制
发表时间：
2008
期刊：
影响因子：
--
通讯作者：
Guang
中科院分区：
文献类型：
--
作者：
S. Thiemjarus;J. Pansiot;D. Mcllwraith;B. Lo;Guang
本文介绍了使用分布式推理与资源优化和时空自组织映射（STSOM）有效地结合可穿戴和环境传感器。STSOM是一种有效的局部处理技术，也适用于增强分布式推理模型的时态行为。为了降低分布式模型的复杂性，提出了一种多目标贝叶斯特征选择框架用于模型学习。该技术的验证已经进行了活动识别与可穿戴和环境传感器在实验室为基础的家庭监测设置。
This paper presents the use of distributed inferencing with resource optimisation and Spatio-Temporal Self-Organising Map (STSOM) for effectively combining the wearable and ambient sensors. STSOM is an efficient local processing technique which is also suitable for enhancing the temporal behaviour of the distributed inferencing model. To reduce the complexity of the distributed model, a multi-objective Bayesian framework for feature selection has been proposed for model learning. The validation of the techniques has been conducted with activity recognition with both wearable and ambient sensors in a lab-based home monitoring setting.