User-sentiment based evaluation for market fitness trackers: Evaluation of fitbit one, Jawbone up and nike+ fuelband based on Amazon.com customer reviews

ICT4AgeingWell 2015 - Proceedings of the 1st International Conference on Information and Communication Technologies for Ageing Well and e-Health

Volumn , Issue , 2015, Pages 171-179

  Issa, Hassan ^a   Shafaee, Alaa ^a   Agne, Stefan ^a   Baumann, Stephan ^a   Dengel, Andreas ^a  

^a GERMAN RESEARCH CENTER FOR ARTIFICIAL INTELLIGENCE DFKI   (Germany)

Author keywords

Activity monitoring; Fitbit one; Fitness; Fitness applications; Fitness trackers evaluation; Jawbone up; Life logging; Nike+ fuelband; Quantified self; Sentiment analysis

Indexed keywords

COMMERCE; SENTIMENT ANALYSIS;

ACTIVITY MONITORING; FITBIT ONE; FITNESS; FITNESS TRACKERS EVALUATION; JAWBONE UP; LIFELOGGING; NIKE+ FUELBAND; QUANTIFIED SELF;

HEALTH;

EID: 84939485788     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5220/0005447401710179     Document Type: Conference Paper

References (6)

1. BCCResearch (2014). Wearable computing: Technologies, applications and global markets. Technical report, BCC Research.
2. Dannecker KL, Sazonova NA, M. E. S. E. B. R. (2014). A comparison of energy expenditure estimation of several physical activity monitors. Medicine and science in sports and exercise.
3. Guo, F., Li, Y., Kankanhalli, M. S., and Brown, M. S. (2013). An evaluation of wearable activity monitoring devices. In Proceedings of the 1st ACM International Workshop on Personal Data Meets Distributed Multimedia, PDM'13, pages 31-34, New York, NY, USA. ACM.
4. Manning, C. D., Surdeanu, M., Bauer, J., Finkel, J., Bethard, S. J., and McClosky, D. (2014). The Stanford CoreNLP natural language processing toolkit. In Proceedings of 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 55-60.
5. Pang, B., Lee, L., and Vaithyanathan, S. (2002). Thumbs up?: Sentiment classification using machine learning techniques. In Proceedings of the ACL-02 Conference on Empirical Methods in Natural Language Processing - Volume 10, EMNLP'02, pages 79-86, Stroudsburg, PA, USA. Association for Computational Linguistics.
6. Shafaee, A., Issa, H., Agne, S., Baumann, S., and Dengel, A. ("2014"). Aspect-based sentiment analysis of amazon reviews for fitness tracking devices. In PAKDD Workshops, pages "50-61".