您的位置: 首页 > 农业专利 > 详情页

IDENTIFYING EVENTS FROM AGGREGATED DEVICE SENSED PHYSICAL DATA
专利权人:
发明人:
申请号:
EP16719978.5
公开号:
EP3289497A1
申请日:
2016.04.06
申请国别(地区):
EP
年份:
2018
代理人:
摘要:
Aspects extend to methods, systems, and computer program products for predicting events from aggregated device sensed physical data. Aspects facilitate dynamically targeted collection and aggregation of physical metrics (e.g., body metrics and environmental metrics) from varying sensing devices. Aggregated data can be used for pattern analysis, reporting and predictive results on health related events (or other scenarios). Collected physical metric data can be anonymized or personalized based at least in part on data source. Pattern analysis can be used to report at different levels (e.g., personal or commercial, localized or global) and return relevant contextual driven results, including potential healthcare related events or other events relating to the study of changes that occur in large groups of people over a period of time (e.g., relating to demography).
来源网站:
中国工程科技知识中心
来源网址:
http://www.ckcest.cn/home/

意 见 箱

匿名:登录

个人用户登录

找回密码

第三方账号登录

忘记密码

个人用户注册

必须为有效邮箱
6~16位数字与字母组合
6~16位数字与字母组合
请输入正确的手机号码

信息补充