Advanced Wearable Sensor for Human Movement Monitoring
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Wearables".
Deadline for manuscript submissions: 28 February 2025 | Viewed by 2867
Special Issue Editor
Interests: intelligent data analysis for connected health applications
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Wearable sensors for human-movement monitoring have a broad range of applications, including healthcare, wellbeing monitoring, rehabilitation, and human–computer interaction. Despite rapid advancements in wearable sensor technology and computational algorithms, significant research challenges remain. High-quality data are crucial for data-driven human-movement monitoring algorithms. While the research community strives to share collected data, challenges remain regarding the ability to learn from heterogeneous sources of data and information. Can trained models be transferred or adapted to new environments and contexts or even individuals? In the absence of sufficient real data, what roles and limitations do synthetic data play in enhancing model performance? Additionally, considering the demanding requirements for continuous monitoring and processing, how can green computing solutions improve energy efficiency and manage model complexity while ensuring data privacy, for example, when cloud-based infrastructure is deployed?
We invite researchers to contribute their latest research findings to this Special Issue. Topics of interest include, but are not limited to.
Dr. Shuai Zhang
Guest Editor
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Keywords
- data quality
- model transferability
- context-awareness learning
- model personalization
- synthetic data utility
- energy-efficient computing
- data privacy in human movement monitoring using wearable sensor and their applications
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