在科技普惠的现在,手机是我们的“第一块屏”,而得益于各大厂商对手表、手环不断的研发与升级,使其甚至成为了能够独立于手机之外的“第二块屏”。那么对于智能可穿戴设备,你会想到什么?是专业且丰富的各项运动健康监测功能,还是精准的GPS定位 ...
一提到智能穿戴设备,你会想到什么?是运动健康监测,还是GPS定位,或者是便捷的移动支付?不论答案如何,大家可以公认的是,这类产品已经成了对普通消费者最有吸引力的专业运动健康监测设备之一了。 Garmin Venu 2 面对这些相对专业的需求,大部分人都会 ...
Chris is the former Editor of Pocket-lint. He has been a technology journalist since 2008 and has covered the rise of Android and reviewed just about every important device along the way. Chris lives ...
The Garmin Venu Sq Music is Garmin’s latest attempt to dabble with a slightly more smartwatch-style fitness tracker. It costs $250. There are lots of other options around this price including Garmin’s ...
The Venu Sq 2 follows the design of the original Venu Sq, which hit the market in 2020 and remains available for A$429. The new model justifies the price increase with several upgrades, most notably ...
The Garmin Venu Sq is getting an update, with the announcement of the launch of the Garmin Venu Sq 2. The Garmin Venu Sq 2 will move to an AMOLED display, offering always-on functionality, while ...
Garmin’s Venu Sq 2 is better looking, more capable, and currently cheaper than its Fitbit rivals. Garmin’s Venu Sq 2 is better looking, more capable, and currently cheaper than its Fitbit rivals.
When it comes to health and fitness smartwatches, the Fitbit Sense and Venu Sq have a lot in common at very different price points. Both pack in advance sensors, GPS and sports modes that are designed ...
Garmin's first cheap multisport watch in years is a win. The Venu Sq offers 95% of what made the original Venu so great. It's a step down in build quality and the display isn't as good, but ...
We may receive a commission on purchases made from links. Smartwatches are in this weird place these days. There are two major categories of them. The first category is comprised of smartwatches that ...
Affordable, sturdy, reliable. Very good battery life. Waterproof. Lots of high-end fitness features, like incident detection, sleep tracking, and blood oxygen monitoring. Cool colorways! Granular data ...