The Ohio Valley Museum of Discovery (OVMoD) is working to give young people hands-on experience working with their hands and ...

Abstract: This article describes principles of motion sensors data fusion. We analyze various methods of inertial sensors fusion to ensure more accurate and reliable measurements by using the benefits ...

Abstract: Measurement and biomechanical analysis of human movement are important in diverse fields, such as rehabilitation, sports science, ergonomics, and human-robot interaction. However, the ...

Now you can control your smart home devices with gestures in addition to button presses. The Flic Duo delivers twice the ...

Sometimes the simplest way to understand the cause-and-effect nature of automation is to start with the effect. Scenes are ...

University of Birmingham scientists have developed a new way of measuring and analyzing indoor air pollution that—in initial ...

The IM19 is used in conjunction with the UM980 GNSS receiver to provide tilt-compensated Lat/Lon/Alt readings with 1cm accuracy up to 30° tilt angle, and 2cm accuracy up to 60°. Various bits of the ...

Arduino 20th anniversary projects at the University of Padua include a gesture-control car, solar IoT monitor, and BLE swim ...

Arduino library for the ENS16x digital four channel MOX gas sensors with I2C/SPI interface from ScioSense. ENS16x is a range of digital multi-gas metal oxide (MOX) sensors, specifically designed for ...

The BMI563 sensor is handling vibrations and extreme movements, making it ideal for robots that need to navigate precisely. The new BMI5 sensor platform sets new standards in measurement accuracy for ...

High-density surface electromyography (HD-sEMG)-based gesture recognition serves as a critical interface for human-computer interaction (HCI). However, recognition accuracy exhibits a significant ...