{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T03:18:09Z","timestamp":1773112689244,"version":"3.50.1"},"publisher-location":"New York, New York, USA","reference-count":16,"publisher":"ACM Press","license":[{"start":{"date-parts":[[2015,1,1]],"date-time":"2015-01-01T00:00:00Z","timestamp":1420070400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015]]},"DOI":"10.1145\/2802083.2808400","type":"proceedings-article","created":{"date-parts":[[2015,9,15]],"date-time":"2015-09-15T15:02:27Z","timestamp":1442329347000},"page":"101-108","source":"Crossref","is-referenced-by-count":27,"title":["An energy-aware method for the joint recognition of activities and gestures using wearable sensors"],"prefix":"10.1145","author":[{"given":"Joseph","family":"Korpela","sequence":"first","affiliation":[]},{"given":"Kazuyuki","family":"Takase","sequence":"additional","affiliation":[]},{"given":"Takahiro","family":"Hirashima","sequence":"additional","affiliation":[]},{"given":"Takuya","family":"Maekawa","sequence":"additional","affiliation":[]},{"given":"Julien","family":"Eberle","sequence":"additional","affiliation":[]},{"given":"Dipanjan","family":"Chakraborty","sequence":"additional","affiliation":[]},{"given":"Karl","family":"Aberer","sequence":"additional","affiliation":[]}],"member":"320","reference":[{"key":"key-10.1145\/2802083.2808400-1","doi-asserted-by":"crossref","unstructured":"Breiman, L. Random forests.Mach. Learn. 45, 1 (2001), 5--32.","DOI":"10.1023\/A:1010933404324"},{"key":"key-10.1145\/2802083.2808400-2","doi-asserted-by":"crossref","unstructured":"Chawla, N. V., Bowyer, K. W., Hall, L. O., and Kegelmeyer, W. P. SMOTE: synthetic minority over-sampling technique.J. Artif. Intell. Res. 16(2002), 341--378.","DOI":"10.1613\/jair.953"},{"key":"key-10.1145\/2802083.2808400-3","doi-asserted-by":"crossref","unstructured":"French, B., Siewiorek, D. P., Smailagic, A., and Deisher, M. Selective sampling strategies to conserve power in context aware devices. InInt. Symp. on Wearable Comput. 2007, IEEE (2007), 77--80.","DOI":"10.1109\/ISWC.2007.4373783"},{"key":"key-10.1145\/2802083.2808400-4","unstructured":"Ghasemzadeh, H., Amini, N., Saeedi, R., and Sarrafzadeh, M. Power-aware computing in wearable sensor networks: An optimal feature selection.Trans. Mobile Comput. 99, PrePrints (2014)."},{"key":"key-10.1145\/2802083.2808400-5","doi-asserted-by":"crossref","unstructured":"Gordon, D., Czerny, J., Miyaki, T., and Beigl, M. Energy-efficient activity recognition using prediction. InInt. Symp. on Wearable Comput. 2012, IEEE (2012), 29--36.","DOI":"10.1109\/ISWC.2012.25"},{"key":"key-10.1145\/2802083.2808400-6","doi-asserted-by":"crossref","unstructured":"Keogh, E., Chakrabarti, K., Pazzani, M., and Mehrotra, S. Dimensionality reduction for fast similarity search in large time series databases.Knowledge and Information Systems 3, 3 (2001), 263--286.","DOI":"10.1007\/PL00011669"},{"key":"key-10.1145\/2802083.2808400-7","doi-asserted-by":"crossref","unstructured":"Krause, A., Ihmig, M., Rankin, E., Leong, D., Gupta, S., Siewiorek, D., Smailagic, A., Deisher, M., and Sengupta, U. Trading off prediction accuracy and power consumption for context-aware wearable computing. InInt. Symp. on Wearable Comput. 2005, IEEE (2005), 20--26.","DOI":"10.1109\/ISWC.2005.52"},{"key":"key-10.1145\/2802083.2808400-8","doi-asserted-by":"crossref","unstructured":"Lu, Z., Chen, X., Li, Q., Zhang, X., and Zhou, P. A hand gesture recognition framework and wearable gesture-based interaction prototype for mobile devices.Trans. Human Mach. Syst. 44, 2 (2014), 293--299.","DOI":"10.1109\/THMS.2014.2302794"},{"key":"key-10.1145\/2802083.2808400-9","doi-asserted-by":"crossref","unstructured":"Lukowicz, P., Junker, H., Stager, M., Buren, T. V., and Tröster, G. Wearnet: A distributed multi-sensor system for context aware wearables. InUbiComp 2002(2002), 361--370.","DOI":"10.1007\/3-540-45809-3_28"},{"key":"key-10.1145\/2802083.2808400-10","doi-asserted-by":"crossref","unstructured":"Park, T., Lee, J., Hwang, I., Yoo, C., Nachman, L., and Song, J. E-gesture: a collaborative architecture for energy-efficient gesture recognition with hand-worn sensor and mobile devices. InSenSys 2011(2011), 260--273.","DOI":"10.1145\/1999995.2000034"},{"key":"key-10.1145\/2802083.2808400-11","doi-asserted-by":"crossref","unstructured":"Preece, S. J., Goulermas, J. Y., Kenney, L. P., Howard, D., Meijer, K., and Crompton, R. Activity identification using body-mounted sensors-a review of classification techniques.Physiol. Meas. 30, 4 (2009), R1.","DOI":"10.1088\/0967-3334\/30\/4\/R01"},{"key":"key-10.1145\/2802083.2808400-12","doi-asserted-by":"crossref","unstructured":"Quinlan, J. Improved use of continuous attributes in c4.5.J. Artif. Intell. Res. 4(1996), 77--90.","DOI":"10.1613\/jair.279"},{"key":"key-10.1145\/2802083.2808400-13","unstructured":"Quinlan, J. R. C4.5:Programs for Machine Learning. Morgan Kaufmann, 1993."},{"key":"key-10.1145\/2802083.2808400-14","unstructured":"Raffa, G., Lee, J., Nachman, L., and Song, J. Don't slow me down: Bringing energy efficiency to continuous gesture recognition. InInt. Symp. on Wearable Comput. 2010(2010), 1--8."},{"key":"key-10.1145\/2802083.2808400-15","doi-asserted-by":"crossref","unstructured":"Sakoe, H., and Chiba, S. Dynamic programming algorithm optimization for spoken word recognition.Trans. Acoust., Speech, Signal Process. 26, 1 (1978), 43--49.","DOI":"10.1109\/TASSP.1978.1163055"},{"key":"key-10.1145\/2802083.2808400-16","unstructured":"Yan, Z., Subbaraju, V., Chakraborty, D., Misra, A., and Aberer, K. Energy-efficient continuous activity recognition on mobile phones: An activity-adaptive approach. InInt. Symp. on Wearable Comput. 2012, IEEE (2012), 17--24."}],"event":{"name":"the 2015 ACM International Symposium","location":"Osaka, Japan","acronym":"ISWC '15","number":"2015","sponsor":["ACM, Association for Computing Machinery","Bell Labs, Bell Laboratories","Yahoo! Japan","KDDI","Google Inc.","Telef\u00f3nica","SIGCHI, ACM Special Interest Group on Computer-Human Interaction","SIGMOBILE, ACM Special Interest Group on Mobility of Systems, Users, Data and Computing","FX Palo Alto Laboratory, Inc."],"start":{"date-parts":[[2015,9,7]]},"end":{"date-parts":[[2015,9,11]]}},"container-title":["Proceedings of the 2015 ACM International Symposium on Wearable Computers - ISWC '15"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2802083.2808400","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/dl.acm.org\/ft_gateway.cfm?id=2808400&ftid=1619265&dwn=1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T05:07:29Z","timestamp":1750223249000},"score":1,"resource":{"primary":{"URL":"http:\/\/dl.acm.org\/citation.cfm?doid=2802083.2808400"}},"subtitle":[],"proceedings-subject":"Wearable Computers","short-title":[],"issued":{"date-parts":[[2015]]},"references-count":16,"URL":"https:\/\/doi.org\/10.1145\/2802083.2808400","relation":{},"subject":[],"published":{"date-parts":[[2015]]}}}