More from MWC: Innovative indoor location from Senion Lab

Grizzly Analytics loves indoor location positioning. We've analyzed the technology research in progress and we've analyzed the services that stores and malls can deploy now. We loved seeing indoor location demos at MWC (like this one).

One of the more innovative approaches to indoor positioning uses phone sensors to track the phone's motion inside. The idea is to combine signals from a gyroscope, a compass and an accelerometer to track the direction in whcih the phone is moving and how fast it's moving.

One start-up company currently commercializing this approach is Senion Lab, based in Sweden. I met with Senion Lab at MWC, and their demo managed to track our location fairly well as we walked around the booths.

This area has been researched in the past by Microsoft, Samsung, Qualcomm, CSR, Motorola, RIM and others, but is only now appearing in start-ups. Among smaller companies, besides Senion Lab, it's being worked on by Matrix Product Development, Trimble, Footpath, and a few start-ups still in stealth.

See the video below to see Senion Lab's technology in action:

To learn more about indoor location technology, see our reports on indoor location technology research and indoor location services. Or contact us to discuss indoor location technology, how to use it, or how new technology compares to what's on the market.

Sensor-fusion indoor location system in over 30 malls in Singapore

SingTel just deployed indoor mapping and navigation from Swedish start-up SenionLab in over 30 shopping malls in Singapore, with 20 more in planning, in the biggest single deployment we've seen yet of customized indoor location technology. The most significant aspect of this deployment is that this is one of the first commercial deployments of indoor location technology that uses a new technology approach called "sensor fusion," which uses sensors in smartphones (gyroscope, compass, accelerometer, ...) to track location by sensing the phone's movements. Most indoor location systems determine location by measuring the signals of nearby Wi-Fi hotspots or cellular antennas, but this risks looking choppy as the phone waits for the radio signals to change to detect the next place it is. Sensing motion using phone sensors makes the system work more smoothly, regardless of radio signal details. (The SenionLab solution does use Wi-Fi signals as well, to compe...

Seeing Quuppa's indoor location technology at MWC 2015

I first met Fabio and Kimmo from Quuppa in 2012 , before Quuppa existed, when they had spent years researching indoor location positioning technologies at Nokia Research Center. Less than a year after that they formed Quuppa , independent of Nokia, to bring their technology to market. At the time I called Quuppa " the newest and oldest in indoor location positioning ." Fast forward two and a half years. Their technology has reached market, it can now track both smartphones and BLE devices, and it's accurate to within 20-50cm. Before reading more about their technology, take a look at a video of their demo in action: Grizzly Analytics has analyzed indoor location technologies by over 150 companies , and virtually all of the radio-based technologies operate by measuring the distance between the device being tracked and other radio devices, and using these distance measurements for either multilateration or fingerprinting. For example, the well known BLE beacons me...

See great indoor location tech from the 2017 testbed

The videos from the Indoor Location Testbed at GeoIoT World 2017 are now released! Here is your chance to see how these solutions performed in our real-world evaluation, in the videos below. The testbed evaluated each solution by walking around a real-world venue, the GeoIoT World 2017 conference, measuring performance at 10 pre-selected points. Click here for the testbed report, which analyzes each solution's performance in a wide variety of metrics, including real-time accuracy, accuracy stabilization, consistency, latency, floor change, first fix, setup time & more. Let's start with BlooLoc's tag-based solution, which achieved accuracy under 2m in real-time and under 1.5m after stabilization: Then let's look at the infrastructure-free solution from GipsTech , which achieved accuracy under 2m without using any beacons or radio signals: Next is GipsTech's solution with BLE added: Next is BlooLoc's phone-based solution: Fin...

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