The new heart rate sensor makes that automatic tracking more powerful by recognizing and logging time spent in each heart rate zone (peak, cardio, or fat burn). You can see this in real-time on the display, but part of the appeal of the Alta HR is that you can just go about yo...
Afternotificationsareenabled,“Flex2”appearsinthelistofBluetoothdevices pairedtoyourphone. Note:IfthisisyourfirsttimesettingupnotificationsonyourAndroidphone,for detailedinstructions,see Recognizingincomingnotifications Ifyourtrackerandphonearewithin30feetofeachother,acallortextmessage ...
there’s something to be said about a device you can just put on and go with little to no learning curve. Sticking to the basics can sometimes be the best for Fitbit; since testing the device, I’ve gotten more interest from friends than when I was wearing...
“This is a strength in itself, recognizing how important it is to talk, to share how we are feeling with others,” said Professor Boniwell. “If you take time to focus on the positive aspects of your daily experiences you will begin to recognize just how strong you are. Before going t...
device, features an intuitive interface, and includes an in-depth app experience that centralizes the entirety of a user’s data in one easily digestible package. Additionally, it has the ability of recognizing various workouts (running, cycling, tennis, etc.) automatically and piggybacks off a...
Of all the things the Fitbit can do, my favorite is the auto sleep-tracking tool. Sure, automatically recognizing and recording specific exercises and reminding you to move throughout the day are great for getting and keeping fit. But I'm a firm believer in beauty sleep, and the Fitbit ...
(high-intensity movement activities like basketball and soccer) and Aerobic Workouts (Zumba, cardio-kickboxing, etc). SmartTrack is normally very impressive when it comes to recognizing which activities you’re doing, but we’d still recommend starting a workout manually if you can remember. ...
Systems and methods for determining a sedentary state of a user are described. Sensor data is collected and analyzed to calculate metabolic equivalent of task (MET) measures for a p