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A 4.45 ms Low-Latency 3D Point-Cloud-Based Neural Network Processor for Hand Pose Estimation in Immersive Wearable Devices
Research article (2020 IEEE Symposium on VLSI Circuits, 2020) · cited 12× · AI/ML
A 4.45 ms Low-Latency 3D Point-Cloud-Based Neural Network Processor for Hand Pose Estimation in Immersive Wearable Devices
Summary
A 4.45 ms Low-Latency 3D Point-Cloud-Based Neural Network Processor for Hand Pose Estimation in Immersive Wearable Devices is a scholarly article[1].
Key Facts
A 4.45 ms Low-Latency 3D Point-Cloud-Based Neural Network Processor for Hand Pose Estimation in Immersive Wearable Devices's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). A 4.45 ms Low-Latency 3D Point-Cloud-Based Neural Network Processor for Hand Pose Estimation in Immersive Wearable Devices. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-4-45-ms-low-latency-3d-point-cloud-based-neural-network-processor-for-hand-pose-estimation-in-immersive-wearable-devic
MLA“A 4.45 ms Low-Latency 3D Point-Cloud-Based Neural Network Processor for Hand Pose Estimation in Immersive Wearable Devices.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-4-45-ms-low-latency-3d-point-cloud-based-neural-network-processor-for-hand-pose-estimation-in-immersive-wearable-devic.
BibTeX@misc{4ortxyz_a-4-45-ms-low-latency-3d-point-cloud-based-neural-network-processor-for-hand-pose-estimation-in-immersive-wearable-devic_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A 4.45 ms Low-Latency 3D Point-Cloud-Based Neural Network Processor for Hand Pose Estimation in Immersive Wearable Devices}}, year = {2026}, url = {https://4ort.xyz/entity/a-4-45-ms-low-latency-3d-point-cloud-based-neural-network-processor-for-hand-pose-estimation-in-immersive-wearable-devic}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A 4.45 ms Low-Latency 3D Point-Cloud-Based Neural Network Processor for Hand Pose Estimation in Immersive Wearable Devices — https://4ort.xyz/entity/a-4-45-ms-low-latency-3d-point-cloud-based-neural-network-processor-for-hand-pose-estimation-in-immersive-wearable-devic (retrieved 2026-05-24)
