LSTM for predicting time series data • /r/MachineLearning

I am trying to predict the probabilistic location of a person, given a time series of various sensor readings (from accelerometers and cameras). Based on these readings, I want to output the probability of the presence of the person in different zones, whose locations I know. Since LSTMs learn from the context, I think they are suited for this task. However, almost all the tutorials I've encountered come from an NLP point of view. Translating these examples to time series is not exactly one to one.