Experience Paper: Adopting Activity Recognition in On-demand Food Delivery Business
September 29, 2025 Β· Declared Dead Β· π ACM/IEEE International Conference on Mobile Computing and Networking
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Authors
Huatao Xu, Yan Zhang, Wei Gao, Guobin Shen, Mo Li
arXiv ID
2509.24303
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.HC
Citations
0
Venue
ACM/IEEE International Conference on Mobile Computing and Networking
Last Checked
3 months ago
Abstract
This paper presents the first nationwide deployment of human activity recognition (HAR) technology in the on-demand food delivery industry. We successfully adapted the state-of-the-art LIMU-BERT foundation model to the delivery platform. Spanning three phases over two years, the deployment progresses from a feasibility study in Yangzhou City to nationwide adoption involving 500,000 couriers across 367 cities in China. The adoption enables a series of downstream applications, and large-scale tests demonstrate its significant operational and economic benefits, showcasing the transformative potential of HAR technology in real-world applications. Additionally, we share lessons learned from this deployment and open-source our LIMU-BERT pretrained with millions of hours of sensor data.
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