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Figure 1 from Thinking Fast and Slow: An Approach to Energy-Efficient Human Activity Recognition on Mobile Devices

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Figure 1: Detecting begin and end of a trip relative to a significant place: Use cell-id patterns for “intuitive” detection when possible, and use GPS/WiFi for “deliberate” detection when necessary. Energy saving is achieved when a user visits the same places and repeats the same trips and accordingly the system works in the intuition mode. - "Thinking Fast and Slow: An Approach to Energy-Efficient Human Activity Recognition on Mobile Devices"

Figure 6 from Thinking Fast and Slow: An Approach to Energy-Efficient Human Activity Recognition on Mobile Devices

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Figure 5 from Thinking Fast and Slow: An Approach to Energy-Efficient Human Activity Recognition on Mobile Devices

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Figure 6 from Thinking Fast and Slow: An Approach to Energy-Efficient Human Activity Recognition on Mobile Devices

Fast & Slow Thinking: Our System 1 & System 2 Brains

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Thinking, Fast and Slow

Active Site Sequence Representations of Human Kinases Outperform Full Sequence Representations for Affinity Prediction and Inhibitor Generation: 3D Effects in a 1D Model

Trends in human activity recognition using smartphones

Human Activity Recognition With Neural Networks 👥

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