Abstract

An ultimate goal for Ubiquitous Computing is to enable people to interact with the surrounding electrical devices using their habitual body gestures as they communicate with each other. The feasibility of such an idea is demonstrated through a wearable gestural device named Magic Ring (MR), which is an original compact wireless sensing mote in a ring shape that can recognize various finger gestures. A scenario of wireless multiple appliances control is selected as a case study to evaluate the usability of such a gestural interface. Experiments comparing the MR and a Remote Controller (RC) were performed to evaluate the usability. From the results, only with 10 minutes practice, the proposed paradigm of gestural-based control can achieve a performance of completing about six tasks per minute, which is in the same level of the RC-based method.

Highlights

  • In the vision of cyber-physical world or Internet of Things (IoT), networked digital artifacts, like smart buildings, smart desks, smart bags, and so on, will be densely deployed in people’s everyday life [1]

  • target selection control (TGTSELT) focuses on the selection of one target from surrounding multiple target appliances; function selection (FUNSLET) focuses on selection of one function from multiple functions on one appliance

  • These features were evaluated through a comparative study between the Magic Ring (MR) and Remote Controller (RC)

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Summary

Introduction

In the vision of cyber-physical world or Internet of Things (IoT), networked digital artifacts, like smart buildings, smart desks, smart bags, and so on, will be densely deployed in people’s everyday life [1]. If an effective gesture vocabulary set was defined, people could interact with different kinds of digital artifacts in a unified way. Researchers have shown the feasibility of detecting the diverse activities of almost all of the body parts, including foot [2,3,4], shoulder [5], arm [6,7,8], hand [8,9,10,11] by using various body-worn sensors. These researches confirmed that a reasonable recognition rate can be achieved in either online or off-line processing [12,13].

Related Work
Conceptual Architecture
Overall Structure Design
Hardware Structure of MR
Hardware Structure of EA-Node
Definition of Gesture Vocabularies
Gesture Recognition Method
Target and Function Selection
Target Selection
Function Selection
Evaluation Metrics
Experiment System Setup
Experiment Process and Setting
Placement of Controllers
Experiment Results
Conclusions
Full Text
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