An Improved Elman Neural Network for Daily Living Activities Recognition

One of the main issues regarding the monitoring of persons in a smart home environment is the accuracy of the daily control of the person, the health prevention and the timely prediction of abnormal situations. To tackle this problem, this work proposes the use of an improved version of the Elman Neural Network (Elman-NN). In order to minimize the error between inputs and desired outputs, we optimize some criteria of the network to gain good results. We propose to use the Differential Evolution algorithm in the learning step of the Elman-NN to evolve the error performance. Our proposed model is responsible to predict the activities of the monitored elderly and to detect any state changes. This hybridization will help to optimize the weight and the bias of the network to achieve our objective function and to obtain a good network. The experimental results reveal that the proposed model is satisfactory for elderly person’s movement prediction.

[1]  Ahmad Lotfi,et al.  Echo State Network for Occupancy Prediction and Pattern Mining in Intelligent Environments , 2009, Intelligent Environments.

[2]  Jozsef Suto,et al.  Activity Recognition in Adaptive Assistive Systems Using Artificial Neural Networks , 2016 .

[3]  Jeffrey L. Elman,et al.  Finding Structure in Time , 1990, Cogn. Sci..

[4]  Jozsef Suto,et al.  Human activity recognition using neural networks , 2014, Proceedings of the 2014 15th International Carpathian Control Conference (ICCC).

[5]  Per Lynggaard,et al.  Smart Cities and the Ageing Population , 2014 .

[6]  Rainer Storn,et al.  Differential Evolution – A Simple and Efficient Heuristic for global Optimization over Continuous Spaces , 1997, J. Glob. Optim..

[7]  Liang Yongchun.  Application of Elman Neural Network in Short-Term Load Forecasting , 2010, 2010 International Conference on Artificial Intelligence and Computational Intelligence.

[8]  Liu Jun,et al.  Temperature drift modeling of MEMS gyroscope based on genetic-Elman neural network , 2016 .

[9]  Zhigang Liu,et al.  Posture recognition algorithm for the elderly based on BP neural networks , 2015, The 27th Chinese Control and Decision Conference (2015 CCDC).

[10]  Lei He,et al.  BP Neural Network for Human Activity Recognition in Smart Home , 2012, 2012 International Conference on Computer Science and Service System.

[11]  Philippe Roose,et al.  A Markovian-based Approach for Daily Living Activities Recognition , 2016, SENSORNETS.

[12]  Lei Xu,et al.  Short-term wind power forecasting based on Elman neural network with particle swarm optimization , 2016, 2016 Chinese Control and Decision Conference (CCDC).