Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  present a set of heuristics that significantly increase the robustness of motion sensor-based activity recognition with respect to sensor displacement.  placement refers to the position within a single body part (e.g, lor arm).  show how, within certain limits and with modest quality degradation, motion sensorbased activity recognition can be implemented in a displacement tolerant way.  first describe the physical principles that lead to our heuristic.  then evaluate them first on a set of synthetic lor arm motions which are ll suited to illustrate the strengths and limits of our approach, then on an extended modes of locomotion problem (sensors on the upper leg) and finally on a set of exercises performed on various gym machines (sensors placed on the lor arm). In this example our heuristic raises the displaced recognition rate from 24% for a displaced accelerometer, which had 96% recognition when not displaced, to 82%.
['Kai Kunze', 'Paul Lukowicz']
I am writing a research paper on a idea Dealing with sensor displacement in motion-based onbody activity recognition systems
[{"from": "human", "value": "I am writing a research paper on a idea Dealing with sensor displacement in motion-based onbody activity recognition systems"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  present a set of heuristics that significantly increase the robustness of motion sensor-based activity recognition with respect to sensor displacement.  placement refers to the position within a single body part (e.g, lor arm).  show how, within certain limits and with modest quality degradation, motion sensorbased activity recognition can be implemented in a displacement tolerant way.  first describe the physical principles that lead to our heuristic.  then evaluate them first on a set of synthetic lor arm motions which are ll suited to illustrate the strengths and limits of our approach, then on an extended modes of locomotion problem (sensors on the upper leg) and finally on a set of exercises performed on various gym machines (sensors placed on the lor arm). In this example our heuristic raises the displaced recognition rate from 24% for a displaced accelerometer, which had 96% recognition when not displaced, to 82%."}]