Browsing by Author "Huang, Sz-Pin"

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Design of a Self-Portrait Application with Sensor-Assisted Guiding for Smart Devices
(2013)
Lo, Chi-Chung
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Huang, Sz-Pin
;
Ren, Yi
;
Tseng, Yu-Chee
;
資訊工程學系
Taking self-portrait on a smart device, such as a smart phone and a digital camera, is a lot of fun and can be easy when we know how. However, there are rare cases that we can get satisfied snapshots at our first try. Furthermore, the snapshots are usually stored on the camera. The user would not able to check the snapshots immediately on the remote side since she stands away the camera. In this paper, we propose a self-portrait application which enables a smart device to prevent faces from being cut out of the camera frame by giving suggestions to users until they are in a suitable position in the frame. In the same time, we enable the smart device to share the photos automatically to the remote device by machine-to-machine technique. The remote device can also control the camera to take photos again. The proposed application has been implemented on an Android smart phone.
Wearable Localization by Particle Filter with the Assistance of Inertial and Visual Sensors
(2014-01-01)
Huang, Sz-Pin
;
Qiu, Jun-Wei
;
Lo, Chj-Chung
;
Tseng, Yu-Chee
;
資訊工程學系
Indoor positioning has been intensively studied recently due to the exploding demands of indoor mobile applications. While numerous works have employed wireless signals or dead-reckoning techniques, wearable computing poses new opportunities as well as challenges to the localization problem. This research studies the wearable localization problem by proposing a particle filter-based scheme to fuse the inputs from wearable inertial and visual sensors on human body. Specifically, the filter takes inertial measurements, wireless signals, visual landmarks, and indoor floor plans as inputs for location tracking. The inertial signals imply human body movements, the wireless signals indicate a rough absolute region inside a building, while the visual landmarks provide relative angles viewed from particular positions to these markers. Furthermore, a head-mounted display provides intuitive and friendly interfaces to users. The proposed system has also been prototyped and tested in our campus, and the experiments demonstrate an average localization error of about one meter.