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Seeking Non-invasive Transducer to Detect Level of Fatigue

Background / Description

A Singapore enterprise seeks a non-invasive, personal wearable electrochemical sensor (transducer) to detect fatigue level of a person.

Common measurement techniques include brain wave sensing and sleep quality monitoring. However, these methods are cumbersome and difficult to implement due to privacy concerns. Hence, the enterprise wishes to commercialise a wearable and non-invasive device tracking fatigue level of individuals.

The seeker is looking for a hardware transducer or wearable sensing technology that is preferably clinically-proven. The developed product should ideally possess the ability to detect metabolites electrochemically (such as sodium, potassium, lactate in sweat etc.).

The signals should then be measured and analysed into contextual information implying the level of fatigue in an individual. The measuring device should be small and comfortable to be worn by the individual being monitored. 

Technical Specifications

Sensor / Transducer

  • Detects human physiological parameters in a non-invasive manner (e.g. Concentration of metabolites in perspiration)
  • The measured parameters should be consistent and linearly correlated to level of fatigue
  • Measured levels shall ideally be clinically correlated to fatigue level
  • Body-worn, battery operable
  • Information should be transmitted and analysed in real-time, or at least once every 15 minutes
  • Sensor maturity shall be at least in prototypes stage 
  • Example: Sweat sensor

 Deployment Environment:

  • The solution shall not require modification to workplace infrastructure (e.g. installation of video cameras)
  • Sensor has to be good for everyday use in harsh conditions such as construction sites, workshops and roadsides
  • Sensor has to collect information through non-invasive means, e.g. wearable watches, clothings/uniforms, helmets
  • Sensor should be low-power and battery operable
  • Measured readings shall be transmitted wirelessly back to a control station 

Not interested in:

Electroencephalogram (EEG), Video analytics-based fatigue monitoring, Motion analytics. Not interested in solution without prototypes (conceptual, or without validation).

What we are not interested in

Electroencephalogram (EEG), Video analytics-based fatigue monitoring, Motion analytics

Preferred Business Model

  • R&D Collaboration
  • Licensing
  • IP Acquisition
  • Business Collaboration (Joint Venture, Distribution)

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