| Title | A Comparison of the Lookup Table and On-The-Fly Calculation Methods for the Beamforming Control Unit |
| Author | *Bo Yang, Jia Hao Cheong, Yvonne Ying Hung Lam, Lian Soon Ng (Nanyang Technological University, Singapore) |
| Page | pp. 657 - 660 |
| Keyword | ultrasound beamforming, dynamic focusing, delay generation, control unit |
| Abstract | Modern diagnostic ultrasound beamformers require extensive delay information for the focusing of each focal point along the image lines. For a typical beamforming system with dynamic delays, the beamforming control unit is used to calculate the delay information and generate instant delay profiles in order to achieve dynamic focusing beamforming. In this study, the beamforming control unit targeted at a home-based portable delta-sigma oversampled ultrasound beamforming setup was developed. The beamforming principle for 1-D linear transducer array with dynamic aperture was exploited, and three delay generation methods including complete lookup table, compressed lookup table with delta encoding and general parametric algorithm were investigated, implemented and synthesized using VHDL for a FPGA device Spartan-3E XC3S500E. A comparison was performed among the three delay generation methods on their performances in terms of overall logic resource usage and power consumption. |
| Title | Improvement of Control Command Input Device Using Image Processing for FES System |
| Author | Hiroki Higa, *Kosuke Mihara (University of the Ryukyus, Japan), Nozomu Hoshimiya (Tohoku Gakuin University, Japan) |
| Page | pp. 661 - 664 |
| Keyword | functional electrical stimulation, control command input device, eye movement, image processing |
| Abstract | In order to develop a control command input device for a functional electrical stimulation (FES) system, an image processing method was used in this paper. A healthy subject's eye movement was detected, the prototype control command input device was made, and we verified its performance in experiments. From the experimental results, it was found that a healthy subject could appropriately operate the control device to control his wrist joint by FES. |
| Title | Design of Biological Information Measuring System |
| Author | Hiroki Higa, *Takashi Baba (University of the Ryukyus, Japan) |
| Page | pp. 665 - 668 |
| Keyword | biological information measuring, accelerometer, thermometer |
| Abstract | To monitor individual’s health status, and collect vital physiological data, a biological information measuring system was developed in this paper. As a first step of our research, a user’s unit which had an accelerometer and thermometer was made and verified its performance. From the experimental results, it was clear that a healthy subject’s activities and the body temperature were appropriately collected using the system. |
| Title | Score Level Fusion in DWT Domain On-Line Signature Verification |
| Author | *Shouta Koike (Graduate School of Engineering, Tottori University, Japan), Isao Nakanishi, Yoshio Itoh (Faculty of Engineering, Tottori University, Japan) |
| Page | pp. 669 - 672 |
| Keyword | On-Line Signature Verification, DWT Sub-Band Decomposition, Multi-Matcher, Score Level Fusion, Threshold Equalization |
| Abstract | In multi-matcher verification system, scores from matchers are fused at a decision level. However, each matcher has generally a different optimum threshold from other ones and then it causes deterioration of total verification rate. In this paper, we take the multi-matcher DWT on-line signature verification system for example and introduce threshold equalization methods based on the complexity of a signature. Their effectiveness is confirmed in computer simulations. |
| Title | Personal Authentication Using New Feature Vector of Brain Wave |
| Author | *Sadanao Baba, Chisei Miyamoto, Isao Nakanishi (Tottori University, Japan) |
| Page | pp. 673 - 676 |
| Keyword | Brain Waves, Person Authentication |
| Abstract | Conventional person authentication methods using the brain wave: electroencephalogram (EEG) have a problem that they require heavy computational road. In this paper, we propose a new feature vector with light computational load, which consists of maximum spectral powers, their frequency values, and accumulated spectral powers which are greater than a threshold. The verification performance is examined in authentication experiments using 23 subjects and as a result the verification performance of 72% is obtained. |