HyperSense: Hyperdimensional Intelligent Sensing for Energy-Efficient Sparse Data Processing
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Abstract (arXiv)
Introducing HyperSense, our co-designed hardware and software system efficiently controls Analog-to-Digital Converter (ADC) modules' data generation rate based on object presence predictions in sensor data. Addressing challenges posed by escalating sensor quantities and data rates, HyperSense reduces redundant digital data using energy-efficient low-precision ADC, diminishing machine learning system costs. Leveraging neurally-inspired HyperDimensional Computing (HDC), HyperSense analyzes real-time raw low-precision sensor data, offering advantages in handling noise, memory-centricity, and real-time learning. Our proposed HyperSense model combines high-performance software for object detection with real-time hardware prediction, introducing the novel concept of Intelligent Sensor Control. Comprehensive software and hardware evaluations demonstrate our solution's superior performance, evidenced by the highest Area Under the Curve (AUC) and sharpest Receiver Operating Characteristic (ROC) curve among lightweight models. Hardware-wise, our FPGA-based domain-specific accelerator tailored for HyperSense achieves a 5.6x speedup compared to YOLOv4 on NVIDIA Jetson Orin while showing up to 92.1% energy saving compared to the conventional system. These results underscore HyperSense's effectiveness and efficiency, positioning it as a promising solution for intelligent sensing and real-time data processing across diverse applications.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 11 of its 38 references that are in the map. First posted on arXiv 4 Jan 2024.
Builds on
11 of 38 references.
References · 11
- 2020YOLOv4: Optimal Speed and Accuracy of Object Detectioncited by 1,624
- 2020NVAE: A Deep Hierarchical Variational Autoencodercited by 635
- 2019Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computingcited by 225
- 2022Constrained Few-shot Class-incremental Learningcited by 93
- 2021Brain-inspired computing: We need a master plancited by 51
- 2022GraphHD: Efficient graph classification using hyperdimensional computingcited by 28
- 2021Rethinking of Radar's Role: A Camera-Radar Dataset and Systematic Annotator via Coordinate Alignmentcited by 23
- 2023Operating critical machine learning models in resource constrained regimescited by 6
- 2022PISA: A Binary-Weight Processing-In-Sensor Accelerator for Edge Image Processingcited by 4
- 2023CamJ: Enabling System-Level Energy Modeling and Architectural Exploration for In-Sensor Visual Computingcited by 3
- 2020Neurosciences and 6G: Lessons from and Needs of Communicative Brainscited by 2
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Citing papers per year: 2024: 3; 2025: 2; 2026: 2.
7 papers.
- 2024TaskCLIP: Extend Large Vision-Language Model for Task Oriented Object Detectioncited by 21
- 2024Recoverable Anonymization for Pose Estimation: A Privacy-Enhancing Approachcited by 2
- 2025DecoHD: Decomposed Hyperdimensional Classification under Extreme Memory Budgetscited by 2
- 2025LogHD: Robust Compression of Hyperdimensional Classifiers via Logarithmic Class-Axis Reductioncited by 2
- 2024Continuous GNN-based Anomaly Detection on Edge using Efficient Adaptive Knowledge Graph Learningcited by 1
- 2026FusionSense: Tri-Stage Near-Sensor Learning for Runtime-Adaptive Multimodal Edge Intelligencecited by 0
- 2026Vector Symbolic Policy Gradientcited by 0
- 2026Vector Symbolic Policy Gradient19 Aug 2026
- 2026FusionSense: Tri-Stage Near-Sensor Learning for Runtime-Adaptive Multimodal Edge Intelligence19 May 2026
- 2025LogHD: Robust Compression of Hyperdimensional Classifiers via Logarithmic Class-Axis Reduction6 Nov 2025
- 2025DecoHD: Decomposed Hyperdimensional Classification under Extreme Memory Budgets5 Nov 2025
- 2024Continuous GNN-based Anomaly Detection on Edge using Efficient Adaptive Knowledge Graph Learning13 Nov 2024
- 2024Recoverable Anonymization for Pose Estimation: A Privacy-Enhancing Approach1 Sep 2024
- 2024TaskCLIP: Extend Large Vision-Language Model for Task Oriented Object Detection12 Mar 2024