Virtual Coaching Smart Wearables

Sport Specific Form Analysis and Real-time Feedback

Enabling rapid development of on-device sensing algorithms, SensiML enables wearable device manufacturers to take their product functionality to the next level while supporting a much broader array of usages than currently feasible with a given development team size.  SensiML has developed a number of sample applications for exercise, sports, and fitness applications such as:

  • Running gait and form analysis (proper stride and technique for injury prevention and ideal performance)
  • Real-time tennis swing analysis
  • Aerobic and weight training activity detection and rep counting

All of these and more are achievable in real-time on the sensor device without need for a smartphone for external analytics processing.  For device vendors seeking a higher level of performance and differentiation, the SensiML algorithm toolkit can enable rapid inclusion of one or many different movement detection and analysis algorithms.

Because such algorithms can be created quickly through real-world example training without need for ML expertise or coding, the toolkit makes possible for innovative device vendors to establish extensible libraries of activities, coaching levels, and personalization not previously practical with fix-function devices and hand-coded algorithm development techniques.

Clinical Wearable Devices

Physical Therapy Exercise Training and Rehab Compliance Monitor

The power of SensiML smart learning algorithms can be exposed directly to end-users and clinicians using the SensiML API together with a device developer's own software.  Through such use, innovative clinical smart devices utilizing the SensiML toolkit can provide customizable clinician tools for monitoring and improving patient services outside the office setting. 

As just one such example, common fitness/wellness wearable hardware can be adapted with customized firmware to provide a personalizable physical therapy coaching and monitoring device.   As an augment to 1:1 clinician/patient training during therapy visits, a SensiML trained smart wearable can be used to provide real-time reinforcement and corrective feedback for patients while outside the clinic and can monitor session performance and compliance as appropriate.  Such feedback can be a valuable tool for PTs to gain visibility on patient progress between office visits.