This inventor holds 8 USPTO granted patents and 1 published patent application, plus 2 CIPO patents. Top assignees: University of Virginia Patent Foundation, Home Guardian LLC, Other. Active years: 2008-2018.
Company Filing History:
5 out of 1,036 
2 out of 2 
1 out of 834,307 Years Active: 2008-2018
Title: Majd Alwan: Innovator in Activity Inference Technology
Introduction
Majd Alwan is a notable inventor based in Charlottesville, VA (US). He has made significant contributions to the field of technology aimed at improving the quality of life for individuals, particularly those facing challenges related to aging and health conditions. With a total of 8 patents, Alwan's work focuses on the automatic inference of activities of daily living.
Latest Patents
One of Alwan's latest patents is a system and method for the inference of activities of daily living and instrumental activities of daily living automatically. This innovative method and related system are designed to automatically infer answers to all of the Activities of Daily Living (ADL) questions and the first four questions of the Instrumental Activities of Daily Living (IADL) in a home setting. The inference methods detect relevant activities unobtrusively, continuously, accurately, objectively, and quantifiably. Importantly, these methods do not rely on the patient's memory, which may be compromised due to aging or health conditions such as Traumatic Brain Injury (TBI), nor on subjective reports from caregivers. The system utilizes strategically placed sensors throughout the residence, including motion detection sensors in every room. It decomposes each relevant activity into sub-tasks, identifies additional sensors needed to detect these sub-tasks, and formulates rules based on the spatial-temporal conditions between sensor signals to detect specific activities of interest.
Career Highlights
Throughout his career, Majd Alwan has worked with esteemed organizations, including the University of Virginia Patent Foundation and Home Guardian LLC. His work has been instrumental in advancing technologies that support independent living for individuals with health challenges.
Collaborations
Alwan has collaborated with notable professionals in his field, including Robin A. Felder and Steven W. Kell. Their combined expertise has contributed to the development of innovative solutions in activity inference technology.
Conclusion
Majd Alwan's contributions to the field of activity inference technology highlight his commitment to improving the lives of individuals facing health challenges. His innovative patents and collaborations reflect a dedication to advancing technology for better living conditions.