title: A Low Power, Parallel Wearable Multi-Sensor System for Human Activity Evaluation.
abstract: In this paper, the design of a low power heterogeneous wearable multi-sensor system, built with Zynq System-on-Chip (SoC), for human activity evaluation is presented. The powerful data processing capability and flexibility of this SoC represent significant improvements over our previous ARM based system designs. The new system captures and compresses multiple color images and sensor data simultaneously. Several strategies are adopted to minimize power consumption. Our wearable system provides a new tool for the evaluation of human activity, including diet, physical activity and lifestyle.
authors.affiliation: Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA 15213, USA.
authors.forename: Yuecheng
authors.initials: Y
authors.lastname: Li
authors.affiliation: Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA 15213, USA.
authors.forename: Wenyan
authors.initials: W
authors.lastname: Jia
authors.affiliation: Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA 15213, USA.
authors.forename: Tianjian
authors.initials: T
authors.lastname: Yu
authors.affiliation: Department of Electrical & Computer Engineering, University of Pittsburgh, Pittsburgh, PA 15213, USA.
authors.forename: Bo
authors.initials: B
authors.lastname: Luan
authors.affiliation: Department of Electrical & Computer Engineering, University of Pittsburgh, Pittsburgh, PA 15213, USA.
authors.forename: Zhi-Hong
authors.initials: ZH
authors.lastname: Mao
authors.affiliation: Image Processing Center, Beihang University, Beijing, 100191, China.
authors.forename: Hong
authors.initials: H
authors.lastname: Zhang
authors.affiliation: Department of Neurological Surgery, University of Pittsburgh, Pittsburgh, PA 15213, USA ; Department of Electrical & Computer Engineering, University of Pittsburgh, Pittsburgh, PA 15213, USA ; Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA 15213, USA.
authors.forename: Mingui
authors.initials: M
authors.lastname: Sun
keywords: Zynq; activity evaluation; health; heterogeneous system; low power; wearable multi-sensor system; wellness