Garden Device Handle Deformation Sensing for Assistance Control

The patent replaces complex mechanical sensing mechanisms with electronic sensors (accelerometers, gyroscopes, force sensors) that can detect operator intent through minimal physical interaction. This substitution allows the system to sense operator wishes for assistance through electronic signals rather than complex mechanical linkages, improving ease of operation while managing device complexity through modern sensor technology.

The sensing unit acts as an intermediary between the operator and the assistance drive system. It detects subtle cues from the operator (such as handle pressure, body position, or movement patterns) and translates them into control signals for the assistance drive, enabling intuitive operation without direct mechanical coupling between the operator and the drive mechanism.

The patent places sensors at specific critical locations within the guide unit where deformation occurs most significantly when the operator exerts force. By concentrating measurement capability at these key points rather than distributing sensors throughout the entire structure, the system achieves high measurement precision for detecting operator intent while minimizing the overall number of sensors and associated complexity.

The guide unit is divided into distinct segments or regions, with sensors placed at specific segments to monitor deformation. This segmentation allows the system to focus measurement resources on the most informative locations, improving the precision of operator wish detection while reducing the total sensor count and system complexity compared to a fully instrumented structure.

The assistance drive is designed as a dynamic system that automatically adjusts its output based on real-time sensing of operator intent and machine operating conditions. Rather than a fixed or manually controlled drive system, it continuously adapts its assistance level to match the operator's needs, improving productivity by reducing user effort while managing complexity through intelligent control that optimizes performance based on actual conditions.

The system implements a closed-loop feedback mechanism where sensors continuously monitor operator input and machine state, and the assistance drive adjusts its output accordingly. This feedback control enables the system to provide optimal assistance automatically, improving productivity by reducing the physical effort required from the operator while managing device complexity through automated control that responds to real-time conditions without requiring complex manual intervention systems.