ZEL+: Wearable net-zero-energy lifelogging using heterogeneous energy harvesters for sustainable context sensing

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Authors: Mitsuru Arita, Yugo Nakamura, Shigemi Ishida, Yutaka Arakawa
Cited by: 0
References: 40

Abstract

This paper presents ZEL+, a wearable lifelogging system designed to operate with net-zero energy consumption by leveraging multiple energy harvesting technologies for continuous context sensing. Self-powered wearable devices often encounter difficulties in environments with inconsistent or low-intensity energy sources, particularly indoors. To address this, ZEL+ incorporates three key design features:First, it employs a power-switching mechanism based on dual comparators and a capacitor to manage surplus energy and maintain operation under varying lighting conditions.Second, the system integrates heterogeneous energy harvesters not only for power supply but also for sensing ambient context. Specifically, a dye-sensitized solar cell is used to capture stable lighting patterns in low-light indoor settings, while an amorphous solar cell reacts dynamically to environmental light changes—both contributing to location and context recognition. Additionally, a piezoelectric element is included to complement motion-based features, providing supplementary cues for activity recognition.Third, a Spatial Consistency-Based Correction (SCC) algorithm is used to mitigate inconsistencies in location estimation caused by transient recognition errors, supporting more coherent lifelog construction.The system is implemented as a 192g nametag-shaped wearable device and evaluated in an office environment with 11 participants. The evaluation yielded F-measures of 94.7% for location recognition across eight office areas and 96.7% for activity classification. Energy performance analysis showed that the system maintained autonomous operation using harvested energy for approximately 94% of a standard 8-hour workday. These results suggest that ZEL+ can support practical, energy-sustainable lifelogging in indoor mobile computing scenarios.

Fields of Study & Subjects

Context-Aware Activity Recognition Systems Advanced Sensor and Energy Harvesting Materials Innovative Energy Harvesting Technologies

Publication details

Journal / source
Pervasive and Mobile Computing
Volume
117
Pages
102180–102180
Publication date
29 January 2026
Language
EN