We-Be Band

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.

Unobtrusive monitoring

Light-weight, comfortable wearing

Clinical data quality

Equipped with state-of-the-art sensors to ensure the clinical level data quality

Ultra low power

Battery life of 14 days continuous using

Easy data management

Data acquisition, real-time visualization, statistical analysis all in one platform

We-Be Band

We-Be band is equipped with medical grade sensors and multiple user-friendly features ensure the best experience for your next research project!

PPG Sensor

PPG Sensor

Heart rate, heart rate variability, SpO2 monitor

EDA Sensor

EDA Sensor

Perspiration of hands, which can be a marker for stress

3-axis Accelerometer

3-axis Accelerometer

Track daily activities (steps, calories, cadence)

Long Battery Life

Long Battery Life

With the optimized hardware and firmware developed, We-Be has up to two weeks battery life.

Event button

Event button

Event button on the band as well as mobile device enables easy event mark down. Easy for labeling the data.

Sleep Track

Sleep Track

We-Be monitors an impressive array of metrics to evaluate user’s sleep time and sleep quality.

Blood Pressure (Developing)

Blood Pressure (Developing)

With advanced AI/ML techniques, blood pressure is able to be estimated on We-Be!

Calory

Calory

We-Be measures user’s calory consumption and provides diet advice.

Temperature

Temperature

Measures skin temperature

Offline storage

Offline storage

When disconnected with phone/PC, the device will automatically store data of up to 30 hours to avoid data loss.

Seamless Connection

Seamless Connection

We-Be uses Bluetooth Low Energy protocol and offers seamless connection and low-latency data transmission.

Respiratory Rate(Developing)

Respiratory Rate(Developing)

We deployed state-of-the-art PPG-based respiratory rate estimation algorithms.

Signal Pre-process

Signal Pre-process

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.

Stress Detection(Developing)

Stress Detection(Developing)

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.

Sports Coach

Sports Coach

We-Be tracks activity, walk steps, run steps, and calory consumed and provides detailed analysis sports report and advice.

Case study

We-Be is helping hundreds of researchers across the world!

What Client Says

Best Feedback From Clients

Kids emotion​
Kids emotion​

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.

Kids emotion​
Kids emotion​

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.

Kids emotion​
Kids emotion​

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.

Not only the watch, but the entire data management solution

With our powerful data management platform and cloud, it only takes one step from experiments to data analysis!

Streaming mode

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.

We-Be

Gateway

(phone or pc)

Cloud

Cloud Dashboard

Offline mode

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.

pyphysio

Feature Engineering

Data clean

Happening on the cloud…

We-Be Introduce

Video

Customize your own APP

Develop your own data management application starting from our easy-to-use protocols and API! One of the key features of our platform.

Mobile App API

Use our iOS/Android APIs to get real-time raw data from We-Be and develop your own mobile app.

Desktop data output

The cloud provides protocol to get access to all your data. Start developing your own data analysis pipeline now!

Technical specifications

.

Form Factor

Form Factor

• Max band circumference: 106mm
• Min band circumference: 200mm
• Case Diameter: 36.5mm
• Case height: 16mm
• Total Length: 260mm

Battery

Battery

Battery size: 330mAh
Typical use: 7 days
Standby: 14 days
Charging time: < 1 hour

Data storage

Data storage

256MB flash memory store up to 30 hours data

Materials

Materials

Band: polyurethane
Case: polycarbonate and glass fiber
Lenses: polycarbonate and silicon

Our Blog

Latest News

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