GoMore to Showcase Comprehensive Solution for Sports Wearable Devices at MWC Shanghai 2023

Sports and health artificial intelligence algorithm provider GoMore will showcase the latest Edge1.6 algorithm engine integrated with ST'sLSM6DSO16IS embedded Intelligent Sensor Processing Unit (ISPU) in a sports wearable device at the 2023 Mobile World Congress Shanghai (MWC Shanghai). This device offers users precise analysis of running metrics, including cadence, step length, ground contact time, ground contact time balance, vertical oscillation, running power, pace, flight time, stance flight time ratio, ground reaction force, running strike type, and degree of eversion. This highly integrated solution significantly reduces development time for wearable device customers and enhances product performance.


GoMore is a leading global supplier of fitness and wellness algorithms and AI coaches. Through deep collaboration with Olympic-level experts, GoMore brings innovative and user-centric sports and health solutions to clients worldwide. Its software has been adopted by major wearable companies such as Xiaomi, OPPO, and VIVO, and continues to expand the business globally. In the second quarter of 2023, GoMore released the latest Edge 1.6 SDK (Software Development Kit), covering applications in fitness, wellness, and medical fields. Coupled with MEMS sensors, it enables over dozens of sports algorithms as well as popular features in wearable devices such as activity type recognition, fall detection, raise-to-wake, and gesture detection.


The MWC Shanghai will be held from June 28th to June 30th, 2023, at the Shanghai New International Expo Center. GoMore will showcase a practical application example of running posture analysis in wearable devices at booth N1.D85. Visit us for an interactive experience.


About Gomore

GoMore was founded in 2011, by a group of sports enthusiasts and data scientists, with high interests in understanding sports performance. We conducted research experiments and further developed algorithms to monitor personal stamina level, which was verified by sports scientists at the East Tennessee State University. This stamina algorithm was later considered one of the top wearables by TIME Magazine in 2014. In addition, the validation result was presented at The Annual American College of Sports Medicine Conference in 2017.

GoMore aims to integrate scientific training feedback with user experience to help users comprehend their training effectiveness. We also work with well-known top sports coaches to develop the AI coach system for users to provide training guide and understand better of their physiological response after training.


Via innovative algorithms corresponding with sophisticated biological signals, we can continuously measure user’s condition and provide a real-time stamina level. Moreover, we provide scientific-based information for users to monitor their health condition. Last but not least, the AI coach is always there to help users to unleash their full potential to break through their limits.

Source: GoMore
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