Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Tele-EvalNet: A Low-cost, Teleconsultation System for Home based
  Rehabilitation of Stroke Survivors using Multiscale CNN-LSTM Architecture   Technology has an important role to play in the field of Rehabilitation,
improving patient outcomes and reducing healthcare costs. However, existing
approaches lack clinical validation, robustness and ease of use. We propose
Tele-EvalNet, a novel system consisting of two components: a live feedback
model and an overall performance evaluation model. The live feedback model
demonstrates feedback on exercise correctness with easy to understand
instructions highlighted using color markers. The overall performance
evaluation model learns a mapping of joint data to scores, given to the
performance by clinicians. The model does this by extracting clinically
approved features from joint data. Further, these features are encoded to a
lower dimensional space with an autoencoder. A novel multi-scale CNN-LSTM
network is proposed to learn a mapping of performance data to the scores by
leveraging features extracted at multiple scales. The proposed system shows a
high degree of improvement in score predictions and outperforms the
state-of-the-art rehabilitation models.

27
The categories of this paper are: comp-gas
33
The categories of this paper are: plasm-ph
12
The categories of this paper are: nucl-th
29
The categories of this paper are: funct-an
21
The categories of this paper are: adap-org
13
The categories of this paper are: quant-ph
3
The categories of this paper are: physics
10
The categories of this paper are: q-bio
11
The categories of this paper are: hep-lat
4
The categories of this paper are: cond-mat
28
The categories of this paper are: alg-geom
30
The categories of this paper are: q-alg
23
The categories of this paper are: solv-int
36
The categories of this paper are: cmp-lg
24
The categories of this paper are: dg-ga
5
The categories of this paper are: gr-qc