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The future of the smart ring caβ₹♥₽n be like this again♠βφ©

發布時(shí)間(jiān) : 202§σ±1-07-15

So far, scientists have develβ↕γoped an intelligent hand ring that can automatiδ₩€cally detect adverse physical factors to ₽₩♦protect themselves more safely, and smart rings≠Ω¶ can also scare the attackers a&δ‌₽nd seek help. When it is detected that the user ✘​☆↕is in danger, it wil♥↔l be programmed to make a ♥πγ loud beep, and the r™∏$±ed flash begins to fli ↔cker in an effort to scare the attackers and war↓≤n other people in the neighbor₩$♥δhood.

"One of the major <¥™challenges for attack preventionαδ is that during the attack, victims±¶ often have no convenient way to seek help,→α" said Ragib Hasanλδ", an associate professor atγ↑÷$ the University of Alabama ↓φ(UAB) in Bermingham, America. "Whether you c✘​®all 911 or use emergency al<λert applications or devices, the§★φse tools require the user to press>£↕  the button to seek help. This is®'¶$ usually not possible, and violence is♠&÷ happening, or if a person is unc ×π✔onscious because of a≠☆≠n attack, "Hass→®πan said.

Smart bracelet is curren​✘→×tly a principle. It uses machin σe learning and multiple→α'ε sensors to analyze the actions of users so as t‍↕o detect it when an attack occuΩ♥Ω rs. Once the smart bracelet ♣ε÷>is detected, users will be in dange¥ γ∏r. It will give a loud beep and red flashingφ±∑ lights to frighten tαΩ ₩he attackers and remind th→φ®e people nearby.

smart bracelet (15).jpg

The device then connects to the u‌<₽•ser's smart phone by Bluetoo÷£th, and immediately s☆¥ends the emergency message and the coordinate₹•s of the user's location to the emergency♥®π< personnel, and the cont>∑βact list is predefined to the u ₩ ✘ser through the mobile applica∞₽ tion.

The bracelet contains a small m↕★icrocontroller equipped with gyr✘∞ &oscopes, accelerometers, temperat​≥¥"ure and pressure sensors, GP"™φ€S and microphones. UABφ★α graduate research assistant Jayu∏φδn Patel said: "these sensors allo←&™w bracelet to constantl±¶<≤y collect user activities and v ™↕ital signs. "It can also determ•↓ine the direction of the user,→> for example, whethe"≈r they are standing or lyi>→•ng. Machine learning algorithms can deteΩ☆¥ct and distinguish regular movements of users an§→d unexpected and sudden actions, which can indicaπ↕®←te aggressive behavior, "Patel said.

Although the bracele ₩•₩t is mainly used to detect attacks∞♥♣", the elderly or disabled β♦people can also use the smart bracelet to automγ✘atically detect sudden falls £>≤ or other dangerous movements.

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