AI-enhanced backpack with double frequency-up conversion vibration energy converter for motion recognition and extended battery life

Luo，Anxin1,2; Gu，Shanghao1; Guo，Xinge3; Xu，Weihan1; Wang，Yu2; Zhong，Guoliang2; Lee，Chengkuo3; Wang，Fei1

2024-12-01

10.1016/j.nanoen.2024.110302

Nano Energy   影响因子和分区

2211-2855

With growing interest in physical activities, wearable device sales have been increasing each year due to their help in tracking movement. However, keeping these devices running for a long time is still a key challenge. This paper presents an AI-enhanced backpack equipped with a hybrid vibration energy converter that integrates piezoelectric (PE) and electromagnetic (EM) technologies, featuring a double frequency-up conversion (FUC) mechanism. The PE unit enables efficient motion recognition, while the EM unit extends battery life via kinetic energy harvesting. The double FUC mechanism boosts human motion signal strength and resolution by converting sub-Hertz frequencies to hundreds of Hertz. This makes the device particularly effective in environments with performance constraints and interference. By adopting deep learning techniques, the system maintains a high motion recognition accuracy of 97.33 % even under low data sampling rates and significant noise interference. The EM unit effectively harvests kinetic energy, generating an average output power of 4.5 mW during activities such as running at 4.5 Hz, despite of the device's compact size. Additionally, a power management circuit with human motion-stimulated switch optimizes battery life by managing the system's sleep and active states. This innovative energy management approach ensures that during human activity, the system conserves energy by remaining in sleep state for at least 30 % of the time, significantly extending battery life and enhancing the backpack's suitability for outdoor applications.

Frequency-up conversion Self-powered sensing Vibration energy harvester Wearable device

英语

第一

2-s2.0-85204939692

Scopus

1.School of Microelectronics,Southern University of Science and Technology,Shenzhen,518055,China
2.International School of Microelectronics,Dongguan University of Technology,Dongguan,523808,China
3.Department of Electrical & Computer Engineering,National University of Singapore,Singapore,117576,Singapore

Luo，Anxin,Gu，Shanghao,Guo，Xinge,et al. AI-enhanced backpack with double frequency-up conversion vibration energy converter for motion recognition and extended battery life[J]. Nano Energy,2024,131.

Luo，Anxin.,Gu，Shanghao.,Guo，Xinge.,Xu，Weihan.,Wang，Yu.,...&Wang，Fei.(2024).AI-enhanced backpack with double frequency-up conversion vibration energy converter for motion recognition and extended battery life.Nano Energy,131.

Luo，Anxin,et al."AI-enhanced backpack with double frequency-up conversion vibration energy converter for motion recognition and extended battery life".Nano Energy 131(2024).