Adrien Hoffet
adrien.hoffet@epfl.ch +41 21 693 12 09
EPFL IC IINFCOM LCAV
BC 342 (Bâtiment BC)
Station 14
CH-1015 Lausanne
Web site: Site web: https://lcav.epfl.ch/
Publications
Publications Infoscience
GeoAware: A Hybrid Indoor and Outdoor Localization
GeoAware: A Hybrid Indoor and Outdoor Localization Agent for Smart Buildings
Localizing, identifying and authenticating the individual occupants is of paramount importance for the future intelligent buildings. Although the performance of outdoor positioning systems is sufficiently good, the indoor ones have still to converge to a universal interoperable technology. This paper proposes a hybrid, unified localization architecture for indoor and outdoor tracking of the building occupants. By taking advantage of the smartphones and their recent near field communication (NFC) capabilities; a low cost, accurate and scalable localization solution is proposed. This system is a module of an existing, modern building management system (BMS) to which it offers location-aware, energy and comfort management capabilities. The solution is currently deployed as a medium scale trial; therefore, the self-energy use, reliability, ease of use and the privacy requirements are of paramount importance. The system analysis in this paper additionally includes accuracy and battery impact assessment in real-world use cases and location-aware building management operations.
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Teaching Practical DSP with Off-the-Shelf Hardware
Teaching Practical DSP with Off-the-Shelf Hardware and Free Software
In this paper we describe our approach to teaching applied digital signal processing (DSP) using freely-available software and inexpensive off-the-shelf hardware components. The pedagogical framework is built around simple real-time audio processing algorithms that provide immediate and engaging feedback to the students. At the same time, our end goal is to build a learning module that can be easily reproduced by fellow instructors and used in our Massive Open Online Course (MOOC). We use Python for the initial algorithmic prototyping and then transition to a hardware implementation using an STMicroelectronics' Nucleo-64 core with Adafruit I/O breakout boards. We employ modern documentation tools based on Git and Markdown in order to share the material and the exercises, allowing students and educators to access, reproduce, and contribute changes to the content.
- Fulltext: dsp_labs_icassp_2019 - PDF;
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