(10-Jun-2016) Isaac Skog (Researcher, Signal Processing Department, KTH, Sweden) explains how the combination of motion model (the zero-velocity-update approach) and sensor fusion (the multi-IMU approach) improve performance and thus enable indoor positioning and motion sensing applications with the help of ultra low cost inertial sensors.
(20-Jan-2016) PDR is simplified with our foot sensor - The Osmium MIMU22BTP. In simple words, the sensor detects steps, computes displacement and heading of each detected step with respect to the previous one and transmit it over Bluetooth to the application platform (Phone/Tab/Radio) for construction of the tracked path.
Warehouse management, first responders' tracking, augmented reality, indoor navigation, gait analysis, geo-sruvey etc are some of the applications of such sensors. For some applications, output of the foot sensor can be fused with other navigation technologies (like GPS) and sensors to achieve better results at optimized cost.
(11-Jan-2016) Thorough experimental study is conducted on the Osmium MIMU22BTP to investigate the performance that can be expected in mass market applications. The encouraging test results indicate its potential for a variety of indoor Location Based Services (LBS) and IoT applications based on foot-mounted inertial sensing and dead reckoning. Innovative use of social media network, cloud services and Big data analysis with the wearable Osmium MIMU22BTP would fuel big innovation and unleash its potential.
The paper also covers very good overview of the MIMU22BTP sensor system.
(16-Dec-2015) We are pleased to share that GT Silicon has been chosen as the "Top 10 Promising Start-Ups" in the CII Industrial Innovation Awards 2015. CII's press release
About CII: The Confederaton of India Industry (CII), founded in 1895, is a non-government, not-for-profit, industry-led and industry-managed organization, playing a proactive role in India's development process. CII works to create and sustain an environment conducive to the development of India, partnering industry, Government, and civil society, through advisory and consultative processes.
(22-Sep-2015) More than a billion smartphones being sold annually and growing with CAGR of 16%, the smartphone industry has become a driving force in the development of ultralow-cost inertial sensors. Unfortunately, these ultra low-cost sensors do not yet meet the needs of more demanding applications like inertial navigation and biomedical motion tracking systems. However, by adapting a wisdom of the crowd’s thinking and design arrays consisting of hundreds of sensing elements, one can capitalize on the decreasing cost, size, and power-consumption of the sensors to construct virtual high-performance low-cost inertial sensors. Team at KTH, Sweden and WUSTL, USA share findings and challenges.
(10-July-2015) The implemented navigational algorithm of an inertial navigation system (INS), along with the hardware configuration, decides its tracking performance. Besides, operating conditions could also influence the performance. The Osmium MIMU22BTP was tested under various conditions - type of shoe, walking surface, walking speed, path profile, ambient temperature and number of on-board inertial sensors). We observe very robust tracking performance of MIMU22BTP. The average relative errors are less than 3 to 4% under all the conditions, with respect to drift, distance and height, indicating a potential for a variety of location based services based on foot mounted inertial sensing and dead reckoning.
(13-May-2015) Thank you IIGP for adjudging GT Silicon winner of the prestigious innovation award.
About IIGP: The India Innovation Growth Programme (IIGP) is a joint initiative of the Department of Science and Technology (DST), Govt. of India; Lockheed Martin Corporation; Indo-US Science and Technology Forum (IUSSTF), Federation of Indian Chambers of Commerce and Industry (FICCI); Stanford Graduate School of Business and the IC2 Institute at the University of Texas. The aim of this programme is to accelerate innovative Indian technologies into the global markets.
(2-Mar-2015) John-Olof Nilsson (Researcher, Signal Processing Department, KTH, Sweden) did some ten (10) minutes walks, with each walk covering approximately 700 meters distance around his lab. Same path was traced ten times. The film runs at x20. Two MIMU22BTP modules on top of the forefeet and a Android phone were used. As always, the positioning was performed using accelerometers and gyroscopes only. Fusion of the two MIMU22BTP sensors took place on the phone. The map was overlay and manually adjusted to the first lap of the trajectory. Tracking was performed using foot sensors only. No other infrastructure (GPS, WiFi, maps) were used.
(28-Oct-2014) Despite being around for almost two decades, foot-mounted inertial navigation only has gotten a limited spread. Contributing factors to this are lack of suitable hardware platforms and difficult system integration. As a solution to this, we present an open-source wireless foot-mounted inertial navigation module with an intuitive and significantly simplified pedestrian dead reckoning interface. The interface is motivated from statistical properties of the underlying aided inertial navigation. In summary, the module provides a modularization of the foot-mounted inertial navigation and makes the technology significantly easier to use.
(2-Oct-2014) Take a look at the fire-fighters who take on the blaze from the inside, and the technology that's created to help them. This video covers testing of the Tactical Locator (TOR) system developed by KTH Royal Institute of Technology, using foot-mounted sensors - The Osmium MIMU22BTP - to aid navigation.
The technology will save more lives from fires while making the work of a firefighter safer. A foot sensor - small embedded computer - in the heal of the firefighter's shoe allows for the leader of the rescue operation to follow the firefighters movements and location throughout the coordinated rescue operation -- without any infrastructure.
(11-Sep-2014) Ultra-low-cost single-chip inertial measurement units (IMUs) combined into IMU arrays are opening up new possibilities for inertial sensing. However, to make these systems practical, calibration and misalignment compensation of low-cost IMU arrays are necessary and a simple calibration procedure that aligns the sensitivity axes of the sensors in the array is needed. Team at KTH suggests a novel mechanical-rotation-rig-free calibration procedure based on blind system identification and a platonic solid (Icosahedron) printable by a contemporary 3D-printer. Matlab-scripts for the parameter estimation and production files for the calibration device are made available.