We-Be (The well-Being Band)
Bring laboratory to everywhere
We-Be is a new generation wearable watch equipped with multiple vital sign sensors. It seamlessly outputs clean raw data waveform which is accessed through in cloud and everywhere. It has an Open-API to create user specific application.
We-Be band is equipped with medical grade sensors and multiple user-friendly features ensure the best experience for your next research project!
Heart rate, heart rate variability, SpO2 monitor
Perspiration of hands, which can be a marker for stress
Track daily activities (steps, calories, cadence)
With the optimized hardware and firmware developed, We-Be has up to two weeks battery life.
Event button on the band as well as mobile device enables easy event mark down. Easy for labeling the data.
We-Be monitors an impressive array of metrics to evaluate user’s sleep time and sleep quality.
With advanced AI/ML techniques, blood pressure is able to be estimated on We-Be!
We-Be measures user’s calory consumption and provides diet advice.
Measures skin temperature
When disconnected with phone/PC, the device will automatically store data of up to 30 hours to avoid data loss.
We-Be uses Bluetooth Low Energy protocol and offers seamless connection and low-latency data transmission.
We deployed state-of-the-art PPG-based respiratory rate estimation algorithms.
Besides raw data, we provide pre-processed data containing well-denoised signals and comprehensive extracted features in time, frequency, time-frequency, and non-linear domain.
We-Be band is equipped with most advanced machine learning-based stress detection model. The model analyzes hundreds of features from PPG, EDA sensors to be aware of the accurate stress level.
We-Be tracks activity, walk steps, run steps, and calory consumed and provides detailed analysis sports report and advice.
Can you trust movie ratings for your kids?
Health-eTile developed a ML based algorithm to better understand kids’ emotion by using GSR and HRV data from We-Be.
Can you trust movie ratings for your kids?
Health-eTile developed a ML based algorithm to better understand kids’ emotion by using GSR and HRV data from We-Be.
Can you trust movie ratings for your kids?
Health-eTile developed a ML based algorithm to better understand kids’ emotion by using GSR and HRV data from We-Be.
With our powerful data management platform and cloud, it only takes one step from experiments to data analysis!
When We-Be is connected to a gateway (mobile phone or PC), the data is automatically analyzed on the edge and user can visualize it in real-time. In addition, the data will be uploaded to cloud through the gateway for future data access, data management, and computationally complex post-processing.
When We-Be is disconnected with central device, it stores the data automatically to its flash memory up to 7 days of data to avoid data loss. Then, once the device is reconnected to the gateway, all data will be automatically transmitted and saved to cloud. Benefits from the internal real time clock in We-Be, the offline data are well timestamped.
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Use our iOS/Android APIs to get real-time raw data from We-Be and develop your own mobile app.
The cloud provides protocol to get access to all your data. Start developing your own data analysis pipeline now!
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Size: 100 mmX100 mmX100 mm
Weight: 20g
Band perimeter: 100 mm – 200 mm/ 10 mm unit
Battery size: 300mAh
Typical use: 7 days
Standby: 14 days
Charging time: < 1 hour
256MB flash memory store up to 30 hours data
Band: polyurethane
Case: polycarbonate and glass fiber
Lenses: polycarbonate and silicon
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