APT Center Investigator Ming-Chun Huang, PhD led the technical aspect at Case Western Reserve University (CWRU) of this mobile alert system, which may be the first that combines:

• an existing online platform with mindfulness training and a personalized plan for quitting
• two armband sensors to detect smoking motions - a technology that demonstrated more than 98% accuracy in differentiating “lighting up” from other similar motions (compared to 72% accuracy in systems using a single armband)
• a personalized text-messaging service that reminds the user of their own plan to quit, or sends video messages that stress the health and financial benefits of quitting

A paper detailing the system and reporting early findings on a group of 10 users was published in the July edition of Smart Health.

Full length original stories can be found at the Daily and The Week.

The Sound of Ideas interviewed Dr. Huang about this technology, starting around 30 minutes into the audio episode.

Dr. Huang is Director of the Sensing and Interaction Laboratory (SAIL@CWRU) and the Mobile Health Laboratory (mHealth@CWRU) since 2017 and the instructor of EECS410 Mobile Health (mHealth) Technology class at Case Western Reserve University. His on-going multidisciplinary mHealth collaborative projects include: 1) Smoking Cessation, 2) TAiloreD Self-MAnagement ExPert SysTem (ADAPT), and 3) 3D Pain History Visualization using Hololens.