8 research outputs found

    SoundBender: dynamic acoustic control behind obstacles

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    Ultrasound manipulation is growing in popularity in the HCI community with applications in haptics, on-body interaction, and levitation-based displays. Most of these applications share two key limitations: a) the complexity of the sound fields that can be produced is limited by the physical size of the transducers; and b) no obstacles can be present between the transducers and the control point. We present SoundBender, a hybrid system that overcomes these limitations by combining the versatility of phased arrays of transducers (PATs) with the precision of acoustic metamaterials. In this paper, we explain our approach to design and implement such hybrid modulators (i.e. to create complex sound fields) and methods to manipulate the field dynamically (i.e. stretch, steer). We demonstrate our concept using self-bending beams enabling both levitation and tactile feedback around an obstacle and present example applications enabled by SoundBender

    Improving E-Commerce Application through Sense of Agency of a Calibrated Interactive VR Application

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    Virtual reality (VR) technologies create and control different virtual worlds instead of the actual environment, and this contributes to the feeling of control known as the sense of agency (SoA). The SoA exists from the contrast between the expected sensory consequence of one’s action from the efference copy and the real sensory effects. However, the size representation of objects differs between the physical and virtual worlds due to certain technical limitations, such as the VR application’s virtual hand not reflecting the user’s actual hand size. These limitations will incur low quality of perception and SoA for digital application. This paper proposed a proof-of-concept of an interactive e-commerce application that incorporates VR capability and size calibration mechanism. The mechanism used a calibration method based on the reciprocal scale factor from the virtual object to its real counterpart. A study of SoA focusing on user perception and interaction was conducted. The proposed method was tested on 22 participants who were also online shopping users. Nearly half of the participants (45%) bought online products frequently, with at least one transaction per day. The outcome indicated that the proposed method improved 47 percent of user perception and interaction as compared to the conventional e-commerce application with its static texts and images. The proposed method is rudimentary yet effective and can be easily implemented in any digital field

    The Utilization of Template Matching Method for License Plate Recognition: A Case Study in Malaysia

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    Automatic License plate detection and recognition system is special form of optical character recognition and has been an active research domain in image processing field. However, the accuracy is varied due to different styles of number plates en- dorsed. Besides, the characters on Malaysia license plate are in one or two lines. Thus, the proposed license plate recognition (LPR) technique of this research is able to achieve the best recognition performance based on Malaysia license plate vehicle registration number characters. This paper presents a study of applying the template matching method for character image recognition. The database of characters and license plate image has been created by collecting images from various type of car. The initial pre-processing involves image enhancement, binarization, filtering and segmenting of license plate. There are 100 license plates that contain 693 characters have been tested, and the result shown that 92.78% of all characters is correctly recognized. Thus,template matching can be classified as one of the promising algorithm for recognizing Malaysia license plate
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