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Turning cell phones into rescue beacons using Bluetooth Low Energy

Student Feature

Turning cell phones into rescue beacons using Bluetooth Low Energy

A person touches their hand to the screen on a tablet while identifying a location

When Dalia Hanna was working towards her PhD with professor Alex Ferworn at TMU’s Computational Public Safety (CPS) Lab, her research focused on using drones and predictive modelling to locate missing dementia patients. Back then, student Zahidul Islam helped out with the project, playing the role of test subject in simulations with law enforcement.

Fast forward, and Zahidul Islam is a newly minted PhD candidate in the CPS lab (external link) , supervised by lab member Dalia Hanna, Director of IT Services at Sheridan College and professor Ferworn. New research has built on that earlier work to develop the potentially life-saving idea of using Bluetooth Low Energy (BLE) signals to turn mobile phones into detection beacons in disaster zones.

“The CPS lab was formed to address the need to provide effective response to calamity,” professor Ferworn said. “Through applied research, we hope to provide practical and effective tools to those who save lives in disasters. This project is also an extension of previous work with first responders dealing with the realities of urban search and rescue and the need to find trapped victims quickly in the aftermath of the structural collapse of buildings.”

Designed for low power consumption and cost-effectiveness

Different from classic Bluetooth, BLE is designed for low power consumption and cost-effectiveness. It uses radio waves, not WiFi or cellular technology, meaning it doesn’t rely on either. Ideal at transmitting small bursts of data, it’s built into most modern phones and tablets, as well as fitness trackers, heart rate monitors and smartwatches.

The idea to harness BLE is the brainchild of Zahidul Islam. Born and raised in Bangladesh, he was affected by the deadly 2013 tragedy at Dhaka’s Rana Plaza, when structural failure caused a building that housed several garment factories to collapse. Some 2,500 people were rescued from the rubble, but more than 1,110 others died.

“It was live on national television,” he recalled of the tragedy. “People were watching what was going on for four or five whole days, every second.”

According to official statistics cited in Zahidul Islam’s recent research paper, response time is critical for those trapped in rubble or debris. Victims have an 80 per cent chance of survival if they’re found on the first day, but those rates plummet thereafter, falling to 30 per cent by day two and barely 10 per cent by day three.

“We’re trying to find efficiency in rescuing people the fastest we can.”
 

“The major factor we look at is time, because that saves lives,” Dalia Hanna said. “That’s the whole big thing. With everything, we’re trying to find efficiency in rescuing those people the fastest we can.”

Typical search and rescue methods rely on listening equipment, trained sniffer dogs and ground-penetrating radar to locate survivors. While such techniques can be effective, there are caveats. Transporting specialized equipment to a disaster area can be time-consuming, and certain machines won’t operate without electricity or internet service, both of which are often interrupted following a disaster.

In contrast, the BLE method removes the need for expensive devices, power or internet service. Also, because BLE is less power-hungry than WiFi, a victim’s phone acts as a beacon far longer. Tests carried out in abandoned buildings in suburban Toronto showed more than two days of discoverable signal strength.

In those tests, researchers flew a drone over a simulated disaster area to identify BLE signals and create a 3D map indicating the area of greatest signal concentration. In a real-world setting, rescuers would be able to focus on that spot in the hopes of finding the most survivors. The map also means search crews don’t need to risk injury looking through potentially dangerous rubble where no one is trapped. 

“Within an hour, we can find the pattern (of highest density),” said Zahidul Islam. That rapid turnaround time is critical in a scenario where hours and minutes can be so key to survival.  

The next steps are improving the accuracy of the 3D map, then increasing the size of the test area. Once he achieves an 80 per cent accuracy threshold in small spaces, Zahidul Islam plans to scale up the testing to larger areas. 

Read Zahidul Islam’s paper, “Drone Assist Indoor Locating System for Trapped Victim Using Smartphone Application in a 3D Space”. (external link) 

Bluetooth Low Energy uses radio waves, not WiFi or cellular technology, meaning it doesn’t rely on either. It’s built into most modern phones and tablets, as well as fitness trackers and smartwatches.

The research described in this article was partially funded by a grant from AGE-WELL, Canada’s technology and aging network.