Monday | September 9 | Colloquium 15:00 UTC
Tuesday | September 10 | Colloquium 15:00 UTC
Wednesday | September 11 | Colloquium 15:00 UTC
Thursday | September 12 | Colloquium 15:00 UTC
Friday | September 13 | Colloquium 15:00 UTC
Saturday | September 14
Sunday | September 15
“Academia is the last refuge of the polymath,
the dilettante, and the intellectual maverick.”
— Terry Eagleton (Jesus College Cambridge)
Monday | 23 September | Colloquium 15:00 UTC
What Does It Mean: “Left versus Right” | Roger Scruton
Intelligence Squared: Between You and I the English Language is Going to the Dogs
Tuesday | 24 September | Colloquium 15:00 UTC
Wednesday | 25 September | Colloquium 15:00 UTC
Thursday | 26 September | Colloquium 15:00 UTC
Friday | 27 September | Colloquium 15:00 UTC
Saturday | 28 September
Sunday |19 September
Analysis and Design of Consulting System for University Athletic Sports
Many coaches and athletes are showing an increasing interest in training monitoring systems every year. There is a plethora of performance markers that can aid in a coaches assessment of physiological and psychological conditions of their athletes. These markers can indicate an athletes readiness for competition, adaptation to training, or risk for injury. However, studies have shown examination of these performance markers individually may not result in a clear perception of ones performance. Hence, an inclusive analysis of these metrics is required to achieve meaningful assessment. Recently with the growing use of wearable activity trackers, we have access to many of these markers. Currently, there are a few sport monitoring tools which are using a subset of these metrics and are mostly providing real-time data visualization to coaching staff. However, an appropriate athletic performance monitoring system should be intuitive, provide useful data analysis, feedback and reliable predictions to coaches and athletes. In this paper, we are proposing an athletic monitoring system which collects a comprehensive set of metrics and visualize them in real-time and informs coaches about athlete’s readiness score.
Published in: 2017 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT)
New update alert! The 2022 update to the Trademark Assignment Dataset is now available online. Find 1.29 million trademark assignments, involving 2.28 million unique trademark properties issued by the USPTO between March 1952 and January 2023: https://t.co/njrDAbSpwB pic.twitter.com/GkAXrHoQ9T
— USPTO (@uspto) July 13, 2023
Standards Michigan Group, LLC
2723 South State Street | Suite 150
Ann Arbor, MI 48104 USA
888-746-3670