用于移动和可穿戴传感器高效共享的传感器虚拟化

Jian Xu, A. Bhattacharya, A. Balasubramanian, Donald E. Porter
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引用次数: 0

摘要

用户周围的传感器可以通过智能手机以外的各种设备获得。然而,这些传感器并没有被当前的终端用户应用充分利用。传感器使用如此有限的一个关键原因是,应用程序开发人员必须准确地确定传感器数据如何被智能手机应用程序使用。为了缓解这个问题,我们提出了SenseWear,这是一个传感器共享平台,可以扩展智能手机的功能,使用远程传感器,而开发人员的额外工作也很有限。传感器共享有多种用途,包括增强智能手机的硬件,与智能手机应用程序创建新的手势交互,以及通过来自其他设备(如可穿戴设备)的更高质量传感器提高应用程序的体验质量。我们开发并展示了在各种智能手机应用程序中使用远程传感器的六个用例。每个扩展平均只需要添加不到20行代码。此外,使用远程传感器并没有带来明显的延迟增加,并且为智能手机应用程序创造了更方便的交互选项。
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Sensor Virtualization for Efficient Sharing of Mobile and Wearable Sensors
Users are surrounded by sensors that are available through various devices beyond their smartphones. However, these sensors are not fully utilized by current end-user applications. A key reason sensor use is so limited is that application developers must exactly identify how the sensor data can be used by smartphone apps. To mitigate this problem, we present SenseWear, a sensor-sharing platform that extends the functionality of a smartphone to use remote sensors with limited additional developer effort. Sensor sharing has several uses, including augmenting the hardware in smartphones, creating new gestural interactions with smartphone applications, and improving application's Quality of Experience via higher-quality sensors from other devices, such as wearables. We developed and present six use cases that use remote sensors in various smartphone applications. Each extension requires adding fewer than 20 lines of code on average. Furthermore, using remote sensors did not introduce a perceptible increase in latency, and creates more convenient interaction options for smartphone apps.
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