Not Sure If I'M Getting The Right Output From Viterbi Algorithm

[binali perera]

In my project i'm using HMM to predict children depression status as I found that there are patterns which can be identified by their activities.

I have 3 hidden states, Depressed, Non-Depressed,  Clinical Range

For observation sequence I have child daily activities.

So I need to find hidden state for a given observation sequence. For that I'm using Viterbi Algorythm.

So example of my observation sequence is which is input for the viterbi algorythm is:

sleep,sleep,sleep,sleep,cry,cry,cry,cry,sleep,sleep,wake,wake,sleep,sleep,cry,eat,eat,eat,fight,fight,play,play,play,play,play,fight,cry,cry.....................

Then the output that I get is that most likely series of events was {depressed,depressed,depressed,clinical,clinical,. . . . . . . . . . . }

Not Sure If I'M Getting The Right Output From Viterbi Algorithm

Is my observation sequence correct. Having like 50 observations in the observations sequence and 3 hidden state??

[zFh]

do you have an answer? I belive i have the same problem!!!

[binali perera]

hi,

I finished my project during last year.

So yes, the observations and the out put of the Viterbi looks like above. 

Thanks & Best regards,

Binali Perera.

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[zFh]

oh cool,
how did you classify the observations? using viterbi gives me the states buti want the next state to predict. and the lnprobabilitie is always infinity.

Am Montag, 30. Januar 2017 12:19:58 UTC+1 schrieb binali perera:

hi,

I finished my project during last year.

So yes, the observations and the out put of the Viterbi looks like above. 

Thanks & Best regards,

Binali Perera.

On Thu, Jan 12, 2017 at 10:42 PM, zFh <zfhos...@gmail.com> wrote:

do you have an answer? I belive i have the same problem!!!

On Saturday, February 6, 2016 at 5:21:01 PM UTC+1, binali perera wrote:

In my project i'm using HMM to predict children depression status as I found that there are patterns which can be identified by their activities.

I have 3 hidden states, Depressed, Non-Depressed,  Clinical Range

For observation sequence I have child daily activities.

So I need to find hidden state for a given observation sequence. For that I'm using Viterbi Algorythm.

So example of my observation sequence is which is input for the viterbi algorythm is:

sleep,sleep,sleep,sleep,cry,cry,cry,cry,sleep,sleep,wake,wake,sleep,sleep,cry,eat,eat,eat,fight,fight,play,play,play,play,play,fight,cry,cry.....................

Then the output that I get is that most likely series of events was {depressed,depressed,depressed,clinical,clinical,. . . . . . . . . . . }

Not Sure If I'M Getting The Right Output From Viterbi Algorithm

Is my observation sequence correct. Having like 50 observations in the observations sequence and 3 hidden state??

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[binali perera]

to predict I used time series analysis. 

Thanks & Best regards,

Binali Perera.

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