Human activity recognition using embedded mobile and embedded sensors is becoming increasingly important. Scaling up from individuals to groups, that is, group activity recognition, has attracted significant attention recently. This paper proposes a model and specification language for group activities called GroupSense-L, and a novel architecture called GARSAaaS (GARSA-as-a-Service) to provide services for mobile Group Activity Recognition and Situation Analysis (or GARSA) applications. We implemented and evaluated GARSAaaS which is an extension of a framework called GroupSense (Abkenar et al., 2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA), 2016) where sensor data, collected using smartphone sensors, smartwatch sensors and embedded sensors in things, are aggregated via a protocol for these different devices to share information, as required for GARSA. We illustrate our approach via a scenario for providing services for bush walking leaders and bush walkers in a bushwalking group activity. We demonstrate the feasibility of our model and expressiveness of our proposed model.

中文翻译：

---

GARSAaaS：小组活动识别和情况分析即服务

使用嵌入式移动和嵌入式传感器进行人类活动识别变得越来越重要。从个人到小组的扩展，即小组活动的识别，最近引起了极大的关注。本文提出了一种针对团体活动的模型和规范语言，称为GroupSense-L，以及一种新颖的架构，称为GARSAaaS（GARSA即服务），为移动团体活动识别和情况分析（或GARSA）应用程序提供服务。我们实施并评估了GARSAaaS，它是称为GroupSense的框架的扩展（Abkenar等人，2016 IEEE第30届高级信息网络和应用国际会议（AINA），2016），其中使用智能手机传感器，智能手表传感器和嵌入式传感器收集传感器数据事物中的传感器 按照GARSA的要求，通过协议聚合这些不同设备共享信息。我们通过一个场景为丛林徒步旅行团体活动中的丛林徒步领袖和丛林徒步旅行者提供服务来说明我们的方法。我们证明了我们模型的可行性和拟议模型的表现力。