Tokyo, Japan

Joseph Korpela

This inventor holds 1 USPTO granted patent. Top assignee: Hitachi, Ltd.. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Joseph Korpela. Retrieved from https://idiyas.com/inventor/joseph-korpela

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Joseph Korpela: Innovator in Labeling Systems

Introduction

Joseph Korpela is a notable inventor based in Tokyo, Japan. He has made significant contributions to the field of labeling systems and activity recognition technologies. His innovative work has led to the development of a unique system that enhances the understanding of time series data.

Latest Patents

Joseph Korpela holds 1 patent for his invention titled "Labeling system, activity recognition system, and teaching material generating system." This patent describes a system where a label is attached to data corresponding to an activity included in time series data. The labeling system comprises a processor and a machine learning model that outputs high-level and low-level labels based on the input of time series data. The processor is designed to display these labels, accept inputs regarding high-level labels, and train the machine learning model accordingly.

Career Highlights

Joseph Korpela is currently employed at Hitachi, Ltd., where he continues to innovate and develop advanced technologies. His work at Hitachi has allowed him to collaborate with other talented professionals in the field, further enhancing his contributions to technology.

Collaborations

One of his notable coworkers is Takayuki Akiyama, with whom he has likely collaborated on various projects within the company.

Conclusion

Joseph Korpela's innovative work in labeling systems and activity recognition demonstrates his commitment to advancing technology. His contributions are significant in the realm of data processing and machine learning.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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