Body-Area Capacitive or Electric Field Sensing for Human Activity Recognition and Human-Computer Interaction: A Comprehensive Survey
Sizhen Bian, Mengxi Liu, Bo Zhou, Paul Lukowicz, Michele, Magno

TL;DR
This comprehensive survey reviews recent advances in body-area electric field sensing for human activity recognition and HCI, categorizing methods by body form, sensing hardware, and data processing techniques.
Contribution
It provides a systematic overview of body-area capacitive sensing, including hardware implementations, algorithms, applications, and future challenges, filling a gap in existing literature.
Findings
Categorizes sensing methods into body-part, whole-body, and body-to-body electric fields.
Summarizes circuit design approaches for sensing frontends.
Analyzes data processing pipelines and discusses future challenges.
Abstract
Due to the fact that roughly sixty percent of the human body is essentially composed of water, the human body is inherently a conductive object, being able to, firstly, form an inherent electric field from the body to the surroundings and secondly, deform the distribution of an existing electric field near the body. Body-area capacitive sensing, also called body-area electric field sensing, is becoming a promising alternative for wearable devices to accomplish certain tasks in human activity recognition and human-computer interaction. Over the last decade, researchers have explored plentiful novel sensing systems backed by the body-area electric field. On the other hand, despite the pervasive exploration of the body-area electric field, a comprehensive survey does not exist for an enlightening guideline. Moreover, the various hardware implementations, applied algorithms, and targeted…
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Taxonomy
TopicsContext-Aware Activity Recognition Systems · Advanced Sensor and Energy Harvesting Materials · Green IT and Sustainability
