Intersense is an advanced sensor wearable datalogger designed by Digital Health Innovation Centre (DHIC) researchers for the industry and scientific community where a reliable wearable sensor for the collection of environmental and physiological data of an individual is vital for analytics and critical decision making.
There is great interest and demand towards the push for Artificial Intelligence (AI) and Machine Learning (ML), AI-ML that is projected to produce immense benefits for consumers and industry. Unfortunately, a large volume of data is required to train and develop new algorithms and new neural networks. One of the challenges is a deficiency of simultaneously collected data for both environmental and physiological factors. There is a gap for data collection tools that can reliably record ambient sensor data and human physiological factors simultaneously.
Intersense measures and stores sensor data for more than ten environmental, physical and physiological parameters onto an on-board memory card from where researchers can do analytics on the rich dataset collected, data can be periodically synced to a mobile platform for post-processing and analysis.
With this wearable, Intersense bridges the gap of reliable sensor readings and continuous data collection, allowing researchers to focus on analytical thinking and mined data visualization. Intersense is thus an important tool for the persistent generation of data which then enables algorithmic processing to determine trends for evolutionary predictive semantics.
Technology Features, Specifications and Advantages
The Intersense watch is an optimized wearable that combines 5 sensors in one, it has two environmental sensors that sense temperature, humidity, air pressure and an ambient light (LUX/IR) sensor and ultraviolet-A/B sensor. As for physical movement, the built-in tri-axis inertial measurement unit (IMU) comprising of an accelerometer/ gyroscope and a magnetometer can sense highly accurate spatial and angular acceleration and orientation of the wearer. On the rear of the watch, a sensitive photoplethysmograph (PPG) sensor detects changes in blood volume at the wrist for information on heart rate and heart rate variability. To top it off, a capacitive galvanic skin response (GSR) sensor, which is sensitive to perspiration and hydration levels at the skin, collects data that can be correlated to the hydration level of the individual.
The watch is powered by a powerful yet energy-efficient CortexM0+ controller and has BLE4.1 connectivity, combining all the features of expensive and bulky discrete sensors and health biosensors into one platform. With the data collected, researchers and developers can now conduct post-processing to produce new knowledge and insights.
Some potential areas where Intersense can be deployed for:
- Healthcare tracking - Multiple parameters tracking in one device
- R&D community - Collection of multiple data streams
- Algorithm development - Allows further customisation according to different scenarios
- Education tool - Classroom setting
- Data-logging - Data analytics in various different settings
- Machine learning and AI development - Intelligence and empowerment
Some examples of the benefits that include:
- Convenience - Small wearable platform
- Data analytic - Easy to access raw data
- Data portability - Data recorded on an SD card
- Data granularity - High frequency and high-fidelity sensor data
- Convergence - Environmental and physiological data in one platform