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InvenSense Inc. is an American consumer electronics company, founded in 2003 in San Jose, California by Steve Nasiri. It is the provider of the MotionTracking sensor system on chip (SoC) which functions as a gyroscope for consumer electronic devices such as smartphones, tablets, wearables, gaming devices, optical image stabilization, and remote controls…
The analysis highlights History, Art and Companies as prominent areas in the source structure around InvenSense.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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The extracted context around InvenSense shows recurring relationship patterns in the source. For example, InvenSense → California, Canada, China, Chirp Microsystems, Founded, France, In December, In February, Italy, Japan, Korea, Massachusetts, MEMS Sensors Business Group, San Jose, Slovakia, Taiwan, TDK, US, Wilmington Another extracted example is InvenSense → Eric Kawamoto, Vice President – Operations, Fabio Pasolini, GM & VP – Emerging Sensors Business Unit, Joseph Bousaba, GM & VP – Motion and Pressure Business Unit, Omar Abed, CEO of InvenSense, Inc. and General Manager of TDK Corporation’s MEMS Sensors Business Group, Peter Hartwell, Chief Technology Officer. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
motion consumer smartphones electronics founded san jose california tdk company gyroscope sensors inc steve nasiri 2003 motiontracking system chip optical
TTTA extracted 43 structured relationships around InvenSense. Examples in this analysis include InvenSense → Founded → 2003 and InvenSense → Founder → Steve Nasiri. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| InvenSense | Founded | 2003 | 1.00 | infobox |
| InvenSense | Founder | Steve Nasiri | 1.00 | infobox |
| InvenSense | Headquarters | San Jose, California, US | 1.00 | infobox |
| InvenSense | Industry | Consumer Electronics | 1.00 | infobox |
| InvenSense | Key people | Omar Abed, CEO of InvenSense, Inc. and General Manager of TDK Corporation’s MEMS Sensors Business Group | 1.00 | infobox |
| InvenSense | Key people | Peter Hartwell, Chief Technology Officer | 1.00 | infobox |
| InvenSense | Key people | Joseph Bousaba, GM & VP – Motion and Pressure Business Unit | 1.00 | infobox |
| InvenSense | Key people | Fabio Pasolini, GM & VP – Emerging Sensors Business Unit | 1.00 | infobox |
| InvenSense | Key people | Eric Kawamoto, Vice President – Operations | 1.00 | infobox |
| InvenSense | Parent | TDK | 1.00 | infobox |
| InvenSense | Products | SmartMotion, SmartSound, SmartSonic, SmartEnviro, SmartAutomotive, SmartPressure, SmartIndustrial, SmartBug | 1.00 | infobox |
| InvenSense | Type | Subsidiary | 1.00 | infobox |
| InvenSense | Website | invensense.tdk.com | 1.00 | infobox |
The concept neighborhoods around InvenSense bring nearby vocabulary together. In this analysis, examples include Sensors, Motion and Also. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For InvenSense, one of the stronger structural bridges in this analysis connects InvenSense with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around InvenSense to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Art & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — InvenSense · EN edition · Analysis: TopicsToTalkAbout