主に医療機関や福祉施設での需要から，トイレでの排尿量計測と管理に向けた研究が行われている．我々はこれまでに簡便で衛生的な尿量計測手法として画像処理を用いた液体流量推定を提案してきた．この手法では画像中の放射流脈線を放物線近似し，その放射初速度を導出することで多重円柱モデルによって体積を求める．このような画像処理を行うとなると導入ハードルが高いように思われるが，実際にはRaspberry Piのような安価なシングルボードコンピュータと汎用の画像処理ライブラリでも十分に実用的な計測精度を得ることができる．本研究ではRaspberry Piでの実装について紹介し，安価なカメラシステムでの誤差要因を特定することで精度向上が可能な画像処理アルゴリズムを解説する．
In order to improve the quality of life of the elderly or persons who lost their own limb due to an accident or sickness, many power-assist robots and myoelectric artificial limbs have been proposed. Many of these robots are controlled based on biological signals. Specifically, an EMG signal is one of the widely used biological signal for the control of those robots. On the other hand, there are many small devices such as a microcontroller or the small size PC. In this paper, we try to estimate the motion of the upper-limb based on EMG signals by Raspberry Pi.
This paper describes a tabletop mobile robot system controlled by Raspberry Pi micro controller. The robot system is self-contained and simplified for a demonstration system. The system has a highly reliability and reproducibility for construction of the prototype robot system. We show the feasibility of system through the implementation of prototype and the examples of RT system and tools.
It is effective for students to learn from the experience applying the actual robotic control equipment for the robot control education. The robotic control equipment for education needs several capabilities as; high-performance but low-cost; universal programming environment which can be used by the users both beginners and practicians; connectable to various and a lot of functional devices such as sensors and actuators; the operation system which can ensure real-time control performance. We thus propose a control system which meets the requirements applying the single board computer Raspberry Pi2 and Arduino UNO. In this paper we describe the concept and show the effectiveness by some evaluation experiments.
This paper describes the “2016 KOSEN Space Camp,” which is a introductory education program on space technology for students enrolled at the various KOSEN colleges of technology in Japan. The camp was conducted twice, the first time on September 3–6, 2015 and the second time on September 1–4, 2016 at the Marine Park Niihama. Approximately 40 students and more than 10 teachers participated in the camp on each of the two occasions when it was held. The activities in the camp included a lecture by an eminent scientist; the study of basic rocket theory; model rocket experiments; and the development, analysis, and presentation of CanSat satellite model experiments. This unique education program provided by aerospace scientists and engineers is a KOSEN concept and product.
A low-cost, standalone electrochemical instrument was built from a credit card-sized computer and inexpensive A/D and D/A converter chips. The instrument is capable of cyclic voltammetry and constant potential electrolysis, with the potential range of –4 to +4 V and the current range of 1 μA to 20 mA.
These days, no one can live without electricity and the power company must deliver the electricity both safely and continuously. In addition, power electronics technologies are adopted in many electric machines. With using the technologies, one can easily control the industrial electric machinery including the consumer electronics like televisions, is looking forward to saving energy, and can contribute to solving environmental problems. However, they have a point at issue that will generate the higher harmonics and give serious damages to the stationary devices, including the transformers and the capacitors for improvement of power factor, over the power delivery systems. Then, it is necessary to develop the system, which measures the power factor and harmonics and analyzes them. In this paper, the authors developed an analyzer for measuring power factor and harmonics in the power delivery system using a low cost single-board computer. Experiments have been carried out using the proposed system, and it is confirmed that the proposed analyzer has effectiveness.
This paper describes a component-based tabletop robot system controlled by a self-contained micro controller. The system has reliability and reproducibility for construction of the prototype system. The implementation of example RT systems and tools shows feasibility of the proposed system.
In this report, we propose an inexpensive and handy system in which the direction of sight line of human is recognized under the construction of Raspberry Pi, open source hardware with embedded Linux, and proprietary camera module. For the differentiation of sight line of human, face, inner corner of the eye, pupil are detected from the image of the front face first, and the distance between human and camera and the direction of sight line is estimated from the analysis of them. When comparing the performance of the differentiation of the sight line in the proposed system with that in the general circumstance with personal computer, the results of detection are perfectly matched. In addition, it is confirmed that the differentiation of sight line can be done accurately within the distance of 1.0m between human and camera.