Smart bracelet is now the original rationale , which uses a variety of sensors to machine learning and analyzing the user's actions, so that it is detected when it occurs. Once these smart bracelets detect that the user is in danger.
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scientists have developed smart bracelet that can automatically detect physical factors to protect themselves more safely and smart bracelets can also scare off attackers and seek help. When it is detected that the user is at risk, it is programmed to make a loud buzz and the red flash starts to flash in an effort to scare off the attacker and alert others who may be nearby.
"A major challenge in the prevention of attacks is that during the attacks, victims often have no convenient way to seek help," said Ragib Hasan, associate professor at the University of Alabama (UAB) in Birmingham, United States. "Whether you call 911 or use an emergency alert application or device, these tools require the user to press a button to seek help. This is usually not possible, and violence is occurring or if a person becomes unconscious due to the attack." Hassan said.
Smart bracelet is now the original rationale , which uses a variety of sensors to machine learning and analyzing the user's actions, so that it is detected when it occurs. Once these smart bracelets detect that the user is in danger, it emits a loud buzz and a red strobe light to scare off the attacker and alert people nearby.
The device then connects to the user's smartphone via Bluetooth and immediately sends the emergency message and the coordinates of the user's location to the emergency personnel and a predetermined contact list to the user via the mobile application .
The bracelet contains a small microcontroller equipped with a gyroscope, accelerometer, temperature and pressure sensors, GPS and a microphone. UAB graduate research assistant Jayun Patel said: "These sensors allow bracelets to continuously collect user activity and vital signs. "It can also determine the direction of the user, for example, whether they are standing or lying down. Machine learning algorithms can detect and distinguish between the user's regular movements as well as accidental and sudden movements that can indicate aggressive behavior, "Patel said.
Although wristbands are primarily used to detect attacks, elderly or disabled people can also use the smart bracelet automatically detect sudden drops or other dangerous movements.Although wristbands are primarily used to detect attacks, elderly or disabled people can also use the smart bracelet automatically detect sudden drops or other dangerous movements.
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