@article{FangMaLietal.2017,
  author    = {Fang, Peng and Ma, Xingchen and Li, Xiangxin and Qiu, Xunlin and Gerhard, Reimund and Zhang, Xiaoqing and Li, Guanglin},
  title     = {Fabrication, Structure Characterization, and Performance Testing of Piezoelectret-Film Sensors for Recording Body Motion},
  series = {IEEE Sensors Journal},
  volume    = {18},
  journal   = {IEEE Sensors Journal},
  number    = {1},
  publisher = {Inst. of Electr. and Electronics Engineers},
  address   = {Piscataway},
  issn      = {1530-437X},
  doi       = {10.1109/JSEN.2017.2766663},
  pages     = {401 -- 412},
  year      = {2017},
  abstract  = {During muscle contractions, radial-force distributions are generated on muscle surfaces due to muscle-volume changes, from which the corresponding body motions can be recorded by means of so-called force myography (FMG). Piezo- or ferroelectrets are flexible piezoelectric materials with attractive materials and sensing properties. In addition to several other applications, they are suitable for detecting force variations by means of wearable devices. In this paper, we prepared piezoelectrets from cellular polypropylene films by optimizing the fabrication procedures, and developed an FMG-recording system based on piezoelectret sensors. Different hand and wrist movements were successfully detected on able-bodied subjects with the FMG system. The FMG patterns were evaluated and identified by means of linear discriminant analysis and artificial neural network algorithms, and average motion-classification accuracies of 96.1\% and 94.8\%, respectively, were obtained. This paper demonstrates the feasibility of using piezoelectret-film sensors for FMG and may thus lead to alternative methods for detecting body motion and to related applications, e.g., in biomedical engineering or structural-health monitoring.},
  language  = {en}
}
@misc{LouposDamigosAmditisetal.2017,
  author    = {Loupos, Konstantinos and Damigos, Yannis and Amditis, Angelos and Gerhard, Reimund and Rychkov, Dmitry and Wirges, Werner and Schulze, Manuel and Lenas, Sotiris-Angelos and Chatziandreoglou, Christos and Malliou, Christina and Tsaoussidis, Vassilis and Brady, Ken and Frankenstein, Bernd},
  title     = {Structural health monitoring system for bridges based on skin-like sensor},
  series = {IOP conference series : Materials science and engineering},
  volume    = {236},
  journal   = {IOP conference series : Materials science and engineering},
  publisher = {IOP Publ. Ltd.},
  address   = {Bristol},
  issn      = {1757-8981},
  doi       = {10.1088/1757-899X/236/1/012100},
  pages     = {10},
  year      = {2017},
  abstract  = {Structural health monitoring activities are of primal importance for managing transport infrastructure, however most SHM methodologies are based on point-based sensors that have limitations in terms of their spatial positioning requirements, cost of development and measurement range. This paper describes the progress on the SENSKIN EC project whose objective is to develop a dielectric-elastomer and micro-electronics-based sensor, formed from a large highly extensible capacitance sensing membrane supported by advanced microelectronic circuitry, for monitoring transport infrastructure bridges. Such a sensor could provide spatial measurements of strain in excess of 10\%. The actual sensor along with the data acquisition module, the communication module and power electronics are all integrated into a compact unit, the SENSKIN device, which is energy-efficient, requires simple signal processing and it is easy to install over various surface types. In terms of communication, SENSKIN devices interact with each other to form the SENSKIN system; a fully distributed and autonomous wireless sensor network that is able to self-monitor. SENSKIN system utilizes Delay-/Disruption-Tolerant Networking technologies to ensure that the strain measurements will be received by the base station even under extreme conditions where normal communications are disrupted. This paper describes the architecture of the SENSKIN system and the development and testing of the first SENSKIN prototype sensor, the data acquisition system, and the communication system.},
  language  = {en}
}