Low-interference sensing electronics for high-resolution error-correcting biomechanical ground reaction sensor cluster

Journal ArticleAbstract- This paper presents a low-interference and low -power sensing electronics design for a high-resolution errorcorrecting biomechanical ground reaction sensor cluster (GRSC) developed for improving inertial measurement unit (IMU) positioning resolution and accuracy. The GRSC is composed of 13 x 13 sensing nodes, which can measure dynamic ground forces, shear strains, and sole deformation associated with a ground locomotion gait. The integrated sensing electronics consist of a front-end multiplexer that can sequentially connect individual sensing nodes in a GRSC to a capacitance-to-voltage converter followed by an ADC, digital control unit, and driving circuitry to interrogate the GRSC. The sensing electronics are designed in a 0.15 μm CMOS process and occupy an area of approximately 3 mm2 with an expected resolution of 10-bits and 14-bits for the z-axis pressure sensing and the x and y-axes shear strain sensing, respectively, while dissipating a DC power less than 2 mW from a 3V supply

Characterization of electrical interferences for ground reaction sensor cluster

pre-printThis paper presents the characterization of electrical interferences for a high-resolution error-correcting biomechanical ground reaction sensor cluster (GRSC), developed for improving inertial measurement unit (IMU) position sensing accuracy. The GRSC is composed of 13 x 13 sensing nodes, which can measure dynamic ground forces, shear strains, and sole deformation associated with a ground locomotion gait. The integrated sensing electronics consist of a front-end multiplexer that can sequentially connect individual sensing nodes in a GRSC to a capacitance-to-voltage converter followed by an ADC, digital control unit, and driving circuitry to interrogate the GRSC. The characterization data shows that the single-ended (z-axis pressure) mode exhibits a large output interference due to the un-matched interconnect traces design, thus limiting sensing resolution to 8 bits. The differential mode (x/y-axes shear strain) shows a reduced interference effect, achieving a 10-bit resolution

Interactive virtual indoor navigation system using visual recognition and pedestrian dead reckoning techniques

Finding a destination in an unfamiliar indoor environment requires cumbersome effort to refer to a physical floor plan or directory to locate the intended destination. With the advancements of mobile technologies, a navigational system using mobile computing devices such as mobile phone or tablet could aid users in locating the desired destination with ease. This paper presented an interactive virtual indoor navigation system which is developed for Sunway University campus. In order to provide an interactive and context-sensitive navigation platform, a hybrid solution has been proposed by blending the sensor capabilities on the mobile devices to work in an indoor environment. These sensors include utilizing the built-in accelerometer, compass and camera capabilities to create an interactive content of indoor navigation system using visual recognition and pedestrian dead reckoning for Augmented Reality (AR). Furthermore, user satisfaction and feedback survey have been collected for further improvement the proposed solution

Personal navigation via shoe mounted inertial measurement units

Journal ArticleWe are developing a personal micronavigation system that uses high-resolution gait-corrected inertial measurement units. The goal of this project is to develop a navigation system that use secondary inertial variables, such as velocity, to enable long-term precise navigation in the absence of Global Positioning System (GPS) and beacon signals. In this scheme, measured zero velocity durations from the ground reaction sensors are used to reset the accumulated integration errors from the accelerometers and gyroscopes in position calculation. We achieved an average position error of 4 meters at the end of half-hour walks

Inertial sensors for smartphones navigation

The advent of smartphones and tablets, means that we can constantly get informa- tion on our current geographical location. These devices include not only GPS/GNSS chipsets but also mass-market inertial platforms that can be used to plan activities, share locations on social networks, and also to perform positioning in indoor and outdoor scenarios. This paper shows the performance of smartphones and their inertial sensors in terms of gaining information about the user’s current geographical loca- tion considering an indoor navigation scenario. Tests were carried out to determine the accuracy and precision obtainable with internal and external sensors. In terms of the attitude and drift estimation with an updating interval equal to 1 s, 2D accuracies of about 15 cm were obtained with the images. Residual benefits were also obtained, however, for large intervals, e.g. 2 and 5 s, where the accuracies decreased to 50 cm and 2.2 m, respectively

Personal Navigation via High-Resolution Gait-Corrected Inertial Measurement Units

In this paper, a personal micronavigation system that uses high-resolution gait-corrected inertial measurement units is presented. The goal of this paper is to develop a navigation system that uses secondary inertial variables, such as velocity, to enable long-term precise navigation in the absence of Global Positioning System (GPS) and beacon signals. In this scheme, measured zerovelocity duration from the ground reaction sensors is used to reset the accumulated integration errors from accelerometers and gyroscopes in position calculation. With the described system, an average position error of 4 m is achieved at the end of half-hour walks

Personal Navigation via High-Resolution Gait-Corrected Inertial Measurement Units

In this paper, a personal micronavigation system that uses high-resolution gait-corrected inertial measurement units is presented. The goal of this paper is to develop a navigation system that uses secondary inertial variables, such as velocity, to enable long-term precise navigation in the absence of Global Positioning System (GPS) and beacon signals. In this scheme, measured zerovelocity duration from the ground reaction sensors is used to reset the accumulated integration errors from accelerometers and gyroscopes in position calculation. With the described system, an average position error of 4 m is achieved at the end of half-hour walks

Un registrador de datos para modelar el comportamiento de la ballena

Este trabajo de investigación como objetivo modelar en un espacio 4D (X, Y, Z, Tiempo) el buceo de la ballena franca austral que ocupa áreas de desarrollo de actividades humanas, exponiéndose a un escenario de riesgo de colisión con embarcaciones. Este riesgo aumenta conforme aumenta la población de ballenas y las actividades en los puertos y aunque es posible recopilar datos por observación directa cuando están en superficie, resulta muy difícil interpretar sus movimientos durante sus fabricó un dispositivo para el registro de datos de aceleración en tres ejes, campo magnético en tres ejes, temperatura del agua, posición y velocidad tomados GPS, presión y conductividad que graban en una tarjeta microSD de alta capacidad.Eje: Procesamiento de Señales y Sistemas de Tiempo RealRed de Universidades con Carreras en Informática (RedUNCI

Un registrador de datos para modelar el comportamiento de la ballena

Este trabajo de investigación como objetivo modelar en un espacio 4D (X, Y, Z, Tiempo) el buceo de la ballena franca austral que ocupa áreas de desarrollo de actividades humanas, exponiéndose a un escenario de riesgo de colisión con embarcaciones. Este riesgo aumenta conforme aumenta la población de ballenas y las actividades en los puertos y aunque es posible recopilar datos por observación directa cuando están en superficie, resulta muy difícil interpretar sus movimientos durante sus fabricó un dispositivo para el registro de datos de aceleración en tres ejes, campo magnético en tres ejes, temperatura del agua, posición y velocidad tomados GPS, presión y conductividad que graban en una tarjeta microSD de alta capacidad.Eje: Procesamiento de Señales y Sistemas de Tiempo RealRed de Universidades con Carreras en Informática (RedUNCI