Big Data Small Footprint: The Design of A Low-Power Classifier for Detecting Transportation Modes

Summary: Hardware–software co-design of a low-power wearable transport-mode classifier, delivering big-data small-footprint with lean compute and memory. Sensor-hub config yields ~99% power savings with competitive accuracy; data released for research. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 10803
Venue: VLDB
Year: 2014
Pagerank: -
Overall Rank: 13,408 | 6.73%
DOI: -

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