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"
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Figure 6 from Thinking Fast and Slow: An Approach to Energy-Efficient Human Activity Recognition on Mobile Devices
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Thinking, Fast and Slow
Trends in human activity recognition with focus on machine learning and power requirements - ScienceDirect
Multiple vehicle cooperation and collision avoidance in automated vehicles: survey and an AI-enabled conceptual framework
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Work flow for proposed activity recognition framework using smartphone
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