Researchers from the National University of Singapore have developed the HaptGlove, a virtual reality glove that reportedly makes the sense of touch more realistic in the virtual world.
Researchers have developed a novel wearable tactile rendering system that mimics touch sensations with high spatial resolution and a rapid response rate.
Leveraging a loophole in Wi-Fi, researchers have built a drone that can determine the position of connected devices within seconds.
Researchers have created an artificial intelligence model that handles multiple perception and control tasks simultaneously, to safely drive a vehicle in diverse environments.
Physicists have built a cold-atom interferometer, a core component of quantum sensors, that is small and rugged, to safely guide vehicles when GPS systems are jammed.
Researchers working in navigation have developed a method that allows several low-cost inertial sensors working in combination to replace a single expensive sensor.
The Dytran model 3184F is a rugged IEPE piezoelectric accelerometer with a built-in Faraday shield for electrostatic noise immunity, a sensitivity of 100 mV/g and a good low-frequency response.
Dytran's 3115AH is a miniature, high-temperature IEPE accelerometer with an overall weight of 2 g. It was created for embedded shock monitoring of drilling tools.
UniSA scientists have designed small optical fibre sensors that can be attached to hospital mattresses to monitor patient movement and cardiac and respiratory rates.
The 3055D7-D10, D13, D14 and 3056D9-D14 models feature an extended operating temperature range of 163°C for use in high-temperature testing environments.
Dytran Instruments has released the 3099A IEPE Series of mechanically and electrically filtered high shock accelerometers, available in a variety of measurement ranges.
Researchers explore a high-resolution extrusion printing approach to develop tiny devices with dual functionality — EMI shields and a body motion sensor.
The smart jumpsuit is a wearable medical device equipped with multiple movement sensors which assist in assessing and predicting children's neurological development.
Engineers developed the artificial skin with a processing system based on synaptic transistors, which mimics the brain's neural pathways in order to learn.