Pain Level Detection From Facial Image Captured by Smartphone

Author:

Hasan Md Kamrul1,Ahsan Golam Mushih Tanimul1,Ahamed Sheikh Iqbal1,Love Rechard2,Salim Reza3

Affiliation:

1. Marquette University

2. IBCRF

3. Amader Gram

Publisher

Information Processing Society of Japan

Subject

General Computer Science

Reference44 articles.

1. [1] Twycross, R. and Fairfield, S.: Pain in far-advanced cancer, Pain, Vol.14, pp.303-310 (1982).

2. [2] Grossman, S. and Nesbit, S.: Cancer Pain in Clinical Oncology, 3rd Edition, Philadelphia: Elsevier, Philadelphia (2004).

3. [3] Au, E., Loprinzi, C., Dhodapkar, M., Nelson, T., Novotny, P., Hammack, J. and O'Fallon, J.: Regular use of verbal pain scale improves the understanding of oncology inpatient pain intensity, J. Clin. Oncol., Vol.12, pp.2751-2755 (1994).

4. [4] Bruera, E., Kuehn, N., Selmser, M.M.P. and Macmillan, K.: The Edmonton Symptom Assessment System (ESAS): A simple method of the assessment of palliative care patients, J. Palliative Care, Vol.7, pp.6-9 (1991).

5. [5] Cleeland, C. and Ryan, K.: Pain assessment: Global use of the Brief Pain Inventory, Annals Academy Med. Singapore, Vol.23, No.2, pp.129-138 (1994).

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