Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The rich sensing ability of smart mobile phones brings an unique opportunity to detect and long-term monitor people's physical activities. Hover, with mobile phone the application has to comply with people's usage habit of it and thus capture the right moment to recognize activities, which will potentially cause great in-class variances. As a result, the model potentially becomes complex and costs much computing resources in mobile phone.  recognize people's physical activities when they place the mobile phone in the pockets near the pelvic region. Experiment results show that the accuracy could reach 97.7%. To reduce the model size, evaluation of each feature attribution contribution for the accuracy is performed. And the result shows that  can cut the feature dimension from 22 to 8 while obtaining the smallest model.
['Lin Sun', 'Daqing Zhang', 'Nan Li']
I am writing a research paper on a idea Physical activity monitoring with mobile phones
[{"from": "human", "value": "I am writing a research paper on a idea Physical activity monitoring with mobile phones"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The rich sensing ability of smart mobile phones brings an unique opportunity to detect and long-term monitor people's physical activities. Hover, with mobile phone the application has to comply with people's usage habit of it and thus capture the right moment to recognize activities, which will potentially cause great in-class variances. As a result, the model potentially becomes complex and costs much computing resources in mobile phone.  recognize people's physical activities when they place the mobile phone in the pockets near the pelvic region. Experiment results show that the accuracy could reach 97.7%. To reduce the model size, evaluation of each feature attribution contribution for the accuracy is performed. And the result shows that  can cut the feature dimension from 22 to 8 while obtaining the smallest model."}]