Price: ₹1,199 - ₹449.00
(as of May 13, 2024 13:15:40 UTC – Details)
Bluetooth Smart Band for Men Women D20 Activity Trackers
, SmartWatch comes with an Automatic Sleep Tracker, Sedentary Alert, and Activity Tracker. Activity Tracker tracks your steps, distance, running, and calories burned. Asleep monitor measures your total sleep, light sleep, deep sleep, and waking time which gives an analysis of your sleep pattern.
optical led green light sensor combined with intelligent heart rate algorithm, accurate measurement, tracking analyzing heart rate status.
Bracelet charging method, quick release detachable wrist band can be charged in the USB interface, eliminating the trouble of carrying a charging cable and charging stand.
Bluetooth Calling Smart Watch 1.3″ LED with Daily Activity Tracker Color Screen: The operating status tracking data can be displayed on the screen for easy reading.
Heart Rate Monitor & Sleep Tracker: Accurate and effective helping you better understand your health and making a reasonable adjustment to your lifestyle. Automatic sleep tracking can monitor
This watch will accurately track your all-day steps,calories consumption,distance traveled,heart rate.
Fitness Watch for Women Men: If you want an all-in-one watch and don’t want to wear a bulky one, this fitness watch could be the choice for you. It is to keep track of your health and exercise. It track your daily steps, calorie consumed, distance, monitor continuous record the duration of exercising and sleeping.
Smart Notifications: In addition to tracking, this smartwatch connects to the app, available for all smartphones so you can receive incoming phone messages, calls, and more. The Get all your messages and notifications sent straight to your wrist.
Customers say
Customers like the value and ease of use of the wearable computer. They say it’s affordable and accurate. They also like the quality and appearance. However, some customers have reported issues with the battery life. Customers also disagree on performance and touch screen.
AI-generated from the text of customer reviews