• Company invited to join consortium with goal to tackle COVID-19 pandemic
• AI-based cough analysis used to predict if subject has symptoms of COVID-19 infection
• Crowdsourcing effort underway to collect large dataset of cough samples
Portland, OR – May 26, 2020 – SensiMLTM Corporation, a leading developer of AI tools for
building intelligent IoT endpoints, today announced that it is collaborating on an effort to use its
AI technology to help predict whether people are showing symptoms of COVID-19 infection.
One such capability involves using crowdsourcing to collect cough sounds from a large number
of volunteers and then analyzing that data combined with other datasets from the consortium
using the SensiML Analytics Toolkit to identify the unique cough patterns associated with
COVID-19 infections. The goal of the initiative is to give businesses, governments, healthcare,
and other public facilities access to multi-sensor pre-diagnostic screening mechanisms to help
slow the spread of the disease.
The initiative is supported by a consortium of companies, universities, and health organizations
including Asymmetric Return Capital, SkyWater Technology, and Upward Health, an in-home
and virtual care medical provider. In addition to its work with the consortium to build an
enhanced screening application, SensiML plans to open-source its own crowdsourced cough
sound dataset for researchers at large to access.
The concept of utilizing AI for pre-diagnostic screening of cough acoustic samples has been
studied and validated in recently published academic research and is supported by ongoing
projects at multiple esteemed universities. Early published results suggest that using AI to
identify coughs as a COVID-19 screening mechanism has significant potential, as the
pathomorphology of the disease is distinctive from that of other respiratory diseases.
“There is tremendous need for better pre-diagnostic screening tools as return-to-work measures
are put into place across the US and worldwide. The entire SensiML team is excited by the
prospect that our edge AI technology can potentially make a positive contribution to the global
efforts to combat this pandemic.” said Chris Rogers, SensiML CEO.
Data Collection
To support the crowdsourcing effort, the company has set up a web-based data collection page
which explains the contribution process and includes a brief (voluntary) questionnaire. No user-
identifying information is collected and all data submitted is anonymous. Those interested in
contributing a cough sample for the initiative (healthy individuals, those having other respiratory
conditions, and those suspected or confirmed to have an active COVID-19 infection are
encouraged to contribute) can visit: https://sensiml.com/covid-19/. Readers and contributors are
encouraged to share the link through their own social media channels, as collecting more data
will help to make the results more accurate.
About SensiML
SensiML, a subsidiary of QuickLogic (NASDAQ: QUIK), offers cutting-edge software that
enables ultra-low power IoT endpoints that implement AI to transform raw sensor data into
meaningful insight at the device itself. The company’s flagship solution, the SensiML Analytics
Toolkit, provides an end-to-end development platform spanning data collection, labeling,
algorithm and firmware auto generation, and testing. The SensiML Toolkit supports Arm®
Cortex®-M class and higher microcontroller cores, Intel® x86 instruction set processors, and
heterogeneous core QuickLogic SoCs and QuickAI platforms with FPGA optimizations. For
more information, visit www.sensiml.com.
SensiML and logo are trademarks of SensiML. All other trademarks are the property of their respective
holders and should be treated as such.
Press Contact:
SensiML
Andrea Vedanayagam
Veda Communications
andrea@sensiml.com
408.656.4494
• AI-based cough analysis used to predict if subject has symptoms of COVID-19 infection
• Crowdsourcing effort underway to collect large dataset of cough samples
Portland, OR – May 26, 2020 – SensiMLTM Corporation, a leading developer of AI tools for
building intelligent IoT endpoints, today announced that it is collaborating on an effort to use its
AI technology to help predict whether people are showing symptoms of COVID-19 infection.
One such capability involves using crowdsourcing to collect cough sounds from a large number
of volunteers and then analyzing that data combined with other datasets from the consortium
using the SensiML Analytics Toolkit to identify the unique cough patterns associated with
COVID-19 infections. The goal of the initiative is to give businesses, governments, healthcare,
and other public facilities access to multi-sensor pre-diagnostic screening mechanisms to help
slow the spread of the disease.
The initiative is supported by a consortium of companies, universities, and health organizations
including Asymmetric Return Capital, SkyWater Technology, and Upward Health, an in-home
and virtual care medical provider. In addition to its work with the consortium to build an
enhanced screening application, SensiML plans to open-source its own crowdsourced cough
sound dataset for researchers at large to access.
The concept of utilizing AI for pre-diagnostic screening of cough acoustic samples has been
studied and validated in recently published academic research and is supported by ongoing
projects at multiple esteemed universities. Early published results suggest that using AI to
identify coughs as a COVID-19 screening mechanism has significant potential, as the
pathomorphology of the disease is distinctive from that of other respiratory diseases.
“There is tremendous need for better pre-diagnostic screening tools as return-to-work measures
are put into place across the US and worldwide. The entire SensiML team is excited by the
prospect that our edge AI technology can potentially make a positive contribution to the global
efforts to combat this pandemic.” said Chris Rogers, SensiML CEO.
Data Collection
To support the crowdsourcing effort, the company has set up a web-based data collection page
which explains the contribution process and includes a brief (voluntary) questionnaire. No user-
identifying information is collected and all data submitted is anonymous. Those interested in
contributing a cough sample for the initiative (healthy individuals, those having other respiratory
conditions, and those suspected or confirmed to have an active COVID-19 infection are
encouraged to contribute) can visit: https://sensiml.com/covid-19/. Readers and contributors are
encouraged to share the link through their own social media channels, as collecting more data
will help to make the results more accurate.
About SensiML
SensiML, a subsidiary of QuickLogic (NASDAQ: QUIK), offers cutting-edge software that
enables ultra-low power IoT endpoints that implement AI to transform raw sensor data into
meaningful insight at the device itself. The company’s flagship solution, the SensiML Analytics
Toolkit, provides an end-to-end development platform spanning data collection, labeling,
algorithm and firmware auto generation, and testing. The SensiML Toolkit supports Arm®
Cortex®-M class and higher microcontroller cores, Intel® x86 instruction set processors, and
heterogeneous core QuickLogic SoCs and QuickAI platforms with FPGA optimizations. For
more information, visit www.sensiml.com.
SensiML and logo are trademarks of SensiML. All other trademarks are the property of their respective
holders and should be treated as such.
Press Contact:
SensiML
Andrea Vedanayagam
Veda Communications
andrea@sensiml.com
408.656.4494