Wearable Sensors for Human Activity Recognition, Motion Analysis, and mHealth
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: closed (30 April 2023) | Viewed by 9039
Special Issue Editors
Interests: embedded and cyber-physical systems; system-level design methodologies; heterogeneous many-core architectures; systemc-based modeling and verification of embedded systems; design space exploration and multi-objective optimization
Interests: model-based embedded system design and analysis; energy-efficient sensor-based activity recognition systems; embedded multiprocessor; cyber-physical; wearable sensor systems
Special Issue Information
Dear Colleagues,
In the past decades, wearable sensors have found their way into human activity recognition (HAR), motion analysis, and mobile health applications (mHealth) as small and unobtrusive devices. The advances in micro-electro-mechanical systems (MEMS) technologies have led to multi-modal but energy-efficient sensing capabilities. Domain-specific processing architectures integrated into sensor devices as Systems-in-Package (SiP) allow for sensor fusion, signal pre-processing, and the recognition of basic activities, gestures, or steps.
However, although MEMS-based sensors allow for energy-efficient sensing and pre-processing, their integration into wearable sensor devices with wireless communication abilities, complementary processing architectures, and additional environmental sensors demands for application-specific solutions in the context of human activity and context recognition, motion analysis, and mobile health systems, focusing on energy-efficiency, latency, and data throughput. These solutions regard the entire range from efficient software over communication and processing technologies to system design methodologies.
This Special Issue gathers novel contributions to application-specific energy-efficient, low latency, and high-throughput algorithms, software, hardware, communication, and system design methods of wearable sensors in the context of human activity recognition, motion analysis, and mobile health systems. Topics of interest include, but are not limited to:
- sensor signal pre-processing
- sensor signal fusion
- data reduction/signal compression
- hardware/software sensor synchronization
- approximate computing
- efficient data transmission
- body-area sensor network technologies
- application-specific processing architectures
- AI accelerators
- on-sensor feature extraction and machine learning
- application specific hardware/software co-design
- system design and analysis methodologies
Prof. Dr. Christian Haubelt
Dr. Florian Grützmacher
Guest Editors
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