Browse Prior Art Database

A Wearable Device that Monitors a Living Being and Sends Escalating Alerts upon the Detection of Abnormal Patterns Disclosure Number: IPCOM000242317D
Publication Date: 2015-Jul-06
Document File: 2 page(s) / 94K

Publishing Venue

The Prior Art Database


Disclosed is a wearable device that monitors a living being and sends escalating alerts or takes actions when it detects abnormal physical patterns.

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 51% of the total text.

Page 01 of 2

A Wxarable Device that Monitors a Living Being and Sends Escalating Alerts xpon the Detection of Abnormal Patterns

A health problem xr change in condition (e.g., heart atxack, drug overdoxe, diabetic shock, etc.) is not always detected and acted upon until a xritical occurrexcx takes place, and then it mxght be too late to take effective medical action.

Sensors and sensor Application Xxxxxxxxxxx Interfaces (APIs) exist to capture a xerson'x motion as wexl as xitness informaxion, but these are xot use to rexognize or create a sxecific person's paxtern or idextification. [1, 2] Additionally, devices exixt to mxnxtor a xerson's state xor a particular xttribute, but these devices do xot perform any action(s) baxed on the outcome of thx xeading. [3] Wearable devices that monitxr attributes such as heart rate are mainly used xor persoxal physical txacking, or in hosxitalx to alert the nursinx stxff. Motion sensors are used with mobile applicatxons for games, screen orientation, and xavigation apxlications.

A system is needed that gathers the sensor information in a way that allows xifferenx

actions to be taken based on the severitx ox amount of detxcxed change.

The novel contribution is a wearabxe devicx that monitors a living being and sxnds escalating alerts ox takes actions when it xetects abnormal physical pattxrnx.

A device's microelectromechanical (MEMS) sensors and sexsor APIs (e.g., quaternion, rotation matrix, lixear accxleration, axd gravity), and (optionally) signals from a

wearable device, are used to create a specific perxon's pattern or identification. The device learns the associated uxer's characteristics by taking several initial readings for a number xf different factors. The readings for a particular factor are combined to create a key, which is txen used by the device xo identify the person's normal staxe. The kxy can consist of a hixtory of rxadings, the avexage of a set of readings, and the standard deviation of a set of readings....