Changing interfaces using natural arm posture: a new interaction paradigm for pedestrian navigation systems on mobile devices

Authors:
Ceren Kayalar;Selim Balcisoy
Affiliations:
Sabanci University, Computer Graphics Laboratory, Istanbul, Turkey;Sabanci University, Computer Graphics Laboratory, Istanbul, Turkey
Venue:
UAHCI'07 Proceedings of the 4th international conference on Universal access in human-computer interaction: ambient interaction
Year:
2007

Citing 10
Cited 0

Activity and Location Recognition Using Wearable Sensors

IEEE Pervasive Computing
Ubiquitous Spatial-Information Services Using Cell Phones

IEEE Micro
A Touring Machine: Prototyping 3D Mobile Augmented Reality Systems for Exploring the Urban Environment

ISWC '97 Proceedings of the 1st IEEE International Symposium on Wearable Computers
First Steps Towards Handheld Augmented Reality

ISWC '03 Proceedings of the 7th IEEE International Symposium on Wearable Computers
Location-aware visualization of VRML models in GPS-based mobile guides

Web3D '05 Proceedings of the tenth international conference on 3D Web technology
Accuracy characterization for metropolitan-scale Wi-Fi localization

Proceedings of the 3rd international conference on Mobile systems, applications, and services
Pedestrian Tracking with Shoe-Mounted Inertial Sensors

IEEE Computer Graphics and Applications
Detection of eating and drinking arm gestures using inertial body-worn sensors

ISWC '05 Proceedings of the Ninth IEEE International Symposium on Wearable Computers
Real-world interaction with camera phones

UCS'04 Proceedings of the Second international conference on Ubiquitous Computing Systems
Wearable mixed reality system In less than 1 pound

EGVE'06 Proceedings of the 12th Eurographics conference on Virtual Environments

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a new interaction technique, which is based on arm posture recognition, for mobile computing devices to switch between different visualization modes seamlessly. We implemented a pedestrian navigation system on Pocket PC, which is connected to a GPS receiver and an inertial orientation tracker. In the global coordinate system, user's position is tracked with GPS data, and in the local coordinate system user's arm posture is mapped into two application dependent states with inertial orientation tracker data. Hence, natural interaction and different levels of information is provided by processing orientation tracker data. As unnecessary computation and rendering increase power consumption in small devices, we introduced another state to our system, which saves battery according to the user's idle arm posture.