Techniques of EMG signal analysis: detection, processing, classification and applications

Electromyography (EMG) signals can be used for clinical/biomedical applications, Evolvable Hardware Chip (EHW) development, and modern human computer interaction. EMG signals acquired from muscles require advanced methods for detection, decomposition, processing, and classification. The purpose of this paper is to illustrate the various methodologies and algorithms for EMG signal analysis to provide efficient and effective ways of understanding the signal and its nature. We further point up some of the hardware implementations using EMG focusing on applications related to prosthetic hand control, grasp recognition, and human computer interaction. A comparison study is also given to show performance of various EMG signal analysis methods. This paper provides researchers a good understanding of EMG signal and its analysis procedures. This knowledge will help them develop more powerful, flexible, and efficient applications

Swiss airborne monostatic and bistatic dual-pol SAR experiment at the VHF-Band

This paper describes a low-frequency sensor campaign in Switzerland. Several parallel and circular (spotlight mode) tracks were flown in a monostatic and bistatic configuration with the Swedish radio wave sensors CARABAS-II (transmitting and receiving) and LORA (receiving) in autumn 2007. The bistatic configuration was designed to additionally receive the transversal (vertical) polarization

Detection of mini-UAVs in the presence of strong topographic relief - A multisensor perspective

Based on the steadily growing use of mini-UAVs for numerous civilian and military applications, mini-UAVs have been recognized as an increasing potential threat. Therefore, counter-UAV solutions addressing the peculiarities of this class of UAVs have recently received a significant amount of attention. Reliable detection, localization, identification and tracking represents a fundamental prerequisite for such counter-UAV systems. In this paper, we focus on the assessment of different sensor technologies and their ability to detect mini-UAVs in a representative rural Swiss environment. We conducted a field trial in August 2015, using different, primarily short range, experimental sensor systems from armasuisse and selected research partners. After an introduction into the challenges for UAV detection in regions with strong topographic relief, we will introduce the experimental setup and describe the key results from this joint experiment

Multi-Channel Radar at 35 GHz for Airborne SAR-Applications

In this paper, we present the upgraded MIRANDA-35 SAR system, which has been extended by three additional receiving channels. The adapted antenna configuration enables simultaneous interferometric and polarimetric SAR measurements. We describe the improved frontend setup and the new data acquisition including the chirp generation board. The first results from an airborne campaign in Switzerland conclude the paper and demonstrate the capabilities of the four-channel Ka-band sensor