AQ-FIT’s Big step to next level : Customized smart Watches W8

Technology start up AQ-Fit smart fitness brand is all set to launch a new smart watch with an ideal feature in the midweek of this month. AQ-Fit aims to keep their clients furore with the astonishing release of fitness smart watches. W8 model introduction boosts demand for customized watches on the market. 

Here is background for AQ-Fit :

AQ-Fit is a high-tech enterprise specialized in R&D, designing, manufacturing and marketing. Their main products include Smart Band and Smart Watch. AQ-Fit will continue to work towards being networking wearable solution experts. Presently having corporate office in Noida and R&D facility in Shenzhen(China).

AQ-Fit SmartWatch/Band Models

Here are some main features for the smart phone: 

• 24 hours Health monitoring( heart rate , Blood Pressure ,Sedentary , SPO2 etc)
• Pedometer , calorie monitoring , multiple sports mode trackers
• Smart app updating social media
• Call / Message / alarm notification

The few additional benefits in W8 are the material used is Zinc Magnesium, Silicon. The time for charging its battery is just two hours that lasts for 5 days. It can be connected through Bluetooth on your mobile phone by downloading its Da Fit app. The mode can be manipulated according to client’s mood and style

“We are open with new launches and are focused to achieve top 5 smart fitness category in 2020”
- Sanjeev Singh ,Business Head

The best feature is the waterproof material. AQ-Fit drags its customers to experience the excellent track record of the fitness and activity on a daily basis for future reference along with sleep monitoring. The watch parts are convenient and removable for cleaning. The power consumption is reduced by 50% with 40% higher chipset capability. The W8 smartwatch is extremely accurate. This is expected to be a great hit in the watch production. W8 is available at all online website shopping portal such as Flipkart, Amazon, Snapdeal, shopclues.

“Time is essential and the key part of life; watch reminds all our past, present memories and future dreams. Tune it according to your lifestyle”

Here is most exiting upcoming smartwatch. Stay tuned for more. If you end-up liking this article do share with your friends and family.

STMicroelectronics Reveals Motion Sensor with Machine Learning Activity Tracking

A global semiconductor leader serving customers across the spectrum of electronics applications, has integrated machine-learning technology into its advanced inertial sensors to improve activity-tracking performance and battery life in mobiles and wearables.

The LSM6DSOX iNEMO sensor contains a machine-learning core to classify motion data based on known patterns. Relieving this first stage of activity tracking from the main processor saves energy and accelerates motion-based apps such as fitness logging, wellness monitoring, personal navigation, and fall detection.

“Machine learning is already used for fast and efficient pattern recognition in social media, financial modelling, or autonomous driving,” said Andrea Onetti, Analog, MEMS and Sensors Group Vice President, STMicroelectronics. “The LSM6DSOX motion sensor integrates machine-learning capabilities to enhance activity tracking in smartphones and wearables.”

Devices equipped with ST’s LSM6DSOX can deliver a convenient and responsive “always-on” user experience without trading battery runtime. The sensor also has more internal memory than conventional sensors, and a state-of-the-art high-speed I3C digital interface, allowing longer periods between interactions with the main controller and shorter connection times for extra energy savings.

The sensor is easy to integrate with popular mobile platforms such as Android and iOS, simplifying use in smart devices for consumer, medical, and industrial markets.

The LSM6DSOX is in full production and available now, priced from $2.50 for orders of 1000 pieces.

Further technical information:

The LSM6DSOX contains a 3D MEMS accelerometer and 3D MEMS gyroscope, and tracks complex movements using the machine-learning core at low typical current consumption of just 0.55mA to minimize load on the battery.

The machine-learning core works in conjunction with the sensor’s integrated finite-state machine logic to handle motion pattern recognition or vibration detection. Customers creating activity-tracking products with the LSM6DSOX can train the core for decision-tree based classification using Weka, an open-source PC-based application, to generate settings and limits from sample data such as acceleration, speed, and magnetic angle that characterize the types of movements to be detected.

Support for free-fall, wakeup, 6D/4D orientation, click and double-click interrupts allows a wide variety of applications such as user-interface management and laptop protection in addition to activity tracking. Auxiliary outputs and configuration options also simplify use in optical image stabilization (OIS).

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