Firstbeat will be exhibiting at CES ® 2019, January 8-11, 2019, in Las Vegas, NV.
This annual mega event is expected to draw over 180,000 attendees from more than 155 different countries. In addition to its reputation for being a launch pad for innovators and historic innovation, CES® has become a global stage for top CEOs and senior level leaders to present their vision of the future through technology.
The Firstbeat showroom will be conveniently located at the Venetian, Lvl 2 – Bellini 2001B, near the Health and Wellness, Fitness, and Sports Technology exhibition areas.
During the event, members of the Firstbeat team will be meeting with current and potential business partners, along with industry insiders, analysts and media members.
- To arrange a business meeting: email@example.com
- To arrange a media/analyst briefing: firstname.lastname@example.org
You can also stop by our showroom and see for yourself how Firstbeat’s advanced performance analytics are making a difference in consumer technology, professional and elite sports, and corporate wellness programs.
As part of the Wearable Tech Summit at CES®, Firstbeat co-founder and CEO Joni Kettunen will be sharing his experiences and expectations for the future of the industry.
Advancing Performance Analytics in Wearables
Successful wearables make better, more personal health and fitness decisions possible. User needs, scientific research, and real-world validation combine to forge solutions.
When: Wednesday, January 9, 2019 – 2:15pm – 2:35pm
Where: Venetian – Level 4, Lando 4302
Firstbeat Technologies Ltd. (“Firstbeat”) is the leading provider of physiological analytics for sports, fitness and wellbeing. The Firstbeat technology turns heartbeat data into rich, personalized and actionable insights on exercise, stress, sleep and recovery. Firstbeat analytics is used by hundreds of elite sports teams, thousands of corporations, and millions of consumers worldwide to improve their performance and wellbeing. Firstbeat has developed revolutionary analytics technology that creates a digital model of user’s physiology through advanced modelling of heart function and heart rate variability (HRV).