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We present an intelligent interface system which includes a new gesture-based wearable input device, called iThrow, as a main user interface for mobile devices, and an infrastructure helping users be aware of and make a use of various public devices in user-friendly manners. In this kind of intelligent interface system, selecting an object among multiple ones is one of the fundamental functions because it is a pre-cursor to all other subsequent actions. We propose a new selection algorithm which improves selection speed by adaptively resizing the objects' angular widths. Results show that the proposed algorithm outperforms the ray-based selection technique in selection speed about 62.6%.

SUMMARYIn the sensor networks for surveillance, the requirements of providing energy efficiency and service differentiation, which is to deliver high-priority packets preferentially, while maintaining high goodput, which is to deliver many packets within their deadline are increasing. However, previous works have difficulties in satisfying the requirements simultaneously. Thus, we propose GES-MAC, which satisfies the requirements simultaneously. GES-MAC reduces idle listening energy consumption by using a duty cycle, periodic listen (i.e., turn on radio module) and sleep (i.e. turn off radio module) of sensor nodes. Cluster-based multi-hop scheduling provides high goodput in a duty-cycled environment by scheduling clusters of nodes in the listen period and opportunistically forwarding data packets in the sleep period. Priority-aware schedule switching makes more highpriority packets reach the sink node by letting high-priority packets preempt the schedules of low-priority packets. In experiments with MICA2 based sensor nodes and in simulations, the energy consumption of the radio module is reduced by 70% compared to the approaches without a duty cycle, while providing 80% ∼ 100% goodput of the approaches that provide high goodput. Service differentiation is also supported with little overhead.