Design and implementation of an extensible rule processing system for wearable computing

Eighth International Symposium on Wearable Computers

Tsukamoto

et al.

Self Cite

Exploiting the latest information is very important for winning a motorbike race. However, it is difficult for a pit crew to acquire the latest information while working. The miniaturization of computers has enabled the creation of wearable computers which permit users instant, and handsfree access to information. Therefore, we propose a wearable system that supports motorbike racing teams. This system allows pit crew to browse for various race information easily and effortlessly.

Section: Design and Implementationmentioning

confidence: 99%

Section: Figure 6 Example Of Eca Rulesmentioning

confidence: 99%

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An Event-Driven Wearable System for Supporting Motorbike Racing Teams

Miyamae

Eighth International Symposium on Wearable Computers

Tsukamoto

et al.

Self Cite

“…Wearable computing is different from conventional computing in three ways [1]. (1) Hands operation free : information can be obtained without manual operation because the computer is worn.…”

Section: Introductionmentioning

confidence: 99%

CLAD: a Sensor Management Device forWearable Computing

Murao

Takegawa

27th International Conference on Distributed Computing Systems Workshops (ICDCSW'07)

et al. 2007

There has been increasing interest in wearable computing. In wearable computing environments, a wearable computer runs various applications with various sensors (wearable sensors). Since conventional wearable systems do not manage the power supply flexibly, they consume excess power resources for unused sensors. Additionally, sensors frequently become unstable for several reasons such as a breakdown. This instability is hard to detect simply from the sensed data. To solve these problems, we propose a new sensor management device CLAD (cross-linkage for assembled devices) that has various functions for power management and sensed-data management. CLAD improves power saving, data accuracy, and operational reliability.

“…We constructed the navigation engine based on A-WEAR [7], which is a rule processing engine for wearable computing environments proposed in earlier research. Using A-WEAR, since system behavior is described in a set of event-driven rules, we can construct systems that satisfy autonomy.…”

Section: Design Of Navigation Enginementioning

confidence: 99%

An Event-driven Navigation Platform forWearable Computing Environments

Miyamae

Ninth IEEE International Symposium on Wearable Computers (ISWC'05)

Kishino

et al.

Self Cite

Wearable computing environments are slowly becoming a reality, worn and used by a user wherever he or she goes. As a result, a lot of attention is given to navigation systems that provide various information according to the users' situation. In this paper, we identify the requirements of wearable navigation systems and propose an event-driven navigation platform to fulfill them. Since the behaviors of our platform are described in a set of event-driven rules, users can adopt a variety of attached devices and customize system configurations. Moreover, we have developed a prototype and made an experimental study for its evaluation. Using our system, service providers can easily construct flexible wearable navigations.