{"id":119,"date":"2016-04-24T08:46:42","date_gmt":"2016-04-24T08:46:42","guid":{"rendered":"http:\/\/beta.yourchennai.com\/?p=119"},"modified":"2016-04-24T08:46:42","modified_gmt":"2016-04-24T08:46:42","slug":"free-software-from-stmicroelectronics-simplifies-detection-of-human-activity-on-mobile-and-wearable-devices","status":"publish","type":"post","link":"https:\/\/yourchennai.com\/index.php\/2016\/04\/24\/free-software-from-stmicroelectronics-simplifies-detection-of-human-activity-on-mobile-and-wearable-devices\/","title":{"rendered":"Free Software from STMicroelectronics Simplifies Detection of Human Activity on Mobile and Wearable Devices"},"content":{"rendered":"<div style=\"margin-top: 0px; margin-bottom: 0px;\" class=\"sharethis-inline-share-buttons\" ><\/div><p>STMicroelectronics has introduced three additions to its Open. MEMS portfolio of free and easy-to-use software libraries for the development of best-in-class motion-sensing applications. The new libraries allow designers to combine the power of ST&#8217;s world-leading motion-sensing technology with the huge array of price\/power\/performance options offered by the STM32, the world&#8217;s most popular ARM\u00c2\u00ae Cortex\u00c2\u00ae-M 32-bit microcontroller family. This provides an ideal route to implementing contextual awareness in mobile, wearable, and IoT(Internet of Things) applications.<\/p>\n<p>The new software allows the detection of human activities from data acquired by inertial sensors embedded in the end-user equipment. Optimized tominimize power consumption, they are particularly suited for fitness and healthcare applications in portable or wearable platforms that monitor human physical activities in realtime over long periods.<\/p>\n<p>The three new software packages are:<\/p>\n<ul>\n<li>The osxMotionAR Activity Recognition package is a high-performance algorithm that identifies the user activity from a wide range of movements and transportation scenarios such as stationary, walking, fast walking, jogging, cycling, and driving. Exploiting the high precision of ST&#8217;s LSM6DS3, LSM6DS3H,and LSM6DSL inertial modules, the Activity Recognition algorithm manages the data acquired from the sensors at a low sampling frequency and returns the identified activity in real time with a very low power consumption.<\/li>\n<li>The osxMotionCP Carry Position package detects how the device containing the motion sensors is being carried. For example, the algorithm can detect whether a portable device such as a mobile phone is placed on a desk, held in hand to view the display or in a swinging arm, near the user\u00e2\u20ac\u2122s head, or put in a shirt or trouser pocket. To minimize power consumption, sensor data is acquired at a low sampling frequency (50Hz).<\/li>\n<li>The osxMotionGRGesture Recognition package recognizes the actions carried out on a mobile or handheld device, including pick-up, glance, or wake-up, which allows designers to develop controls for different functions on the device. This algorithm acquires data from inertial modules with a sampling frequency of 100Hz and recognizes the gestures carried out by the user platform in real time.<\/li>\n<\/ul>\n<p>Based on the comprehensive STM32Cube software development tool, open. MEMS libraries are part of the X-CUBE-MEMS1 expansion software package designed to run on the X-NUCLEO-IKS01A1 motion MEMS and environmental sensor expansion board.<\/p>\n<p>Each Open. MEMS software package includes pre-compiled libraries for the most common development environments and examples expressly designed to quickly evaluate the outstanding features and performances of ST\u00e2\u20ac\u2122s MEMS motion sensors.<\/p>\n<p>The easy-to-use Application Programming Interface allows software developers to rapidly build and customize leading-edge motion-driven applications for the different use cases. The new Open. MEMS packages are available now, free of charge, to customers through a simple click-through license agreement.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>STMicroelectronics has introduced three additions to its Open. MEMS portfolio of free and easy-to-use software libraries for the development of best-in-class motion-sensing applications. The<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[95],"tags":[91,92,90,93],"class_list":["post-119","post","type-post","status-publish","format-standard","hentry","category-technology-mobiles-startup","tag-human-activity","tag-mobile-devices","tag-stmicroelectronics","tag-wearable-devices"],"views":1167,"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/yourchennai.com\/index.php\/wp-json\/wp\/v2\/posts\/119","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/yourchennai.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/yourchennai.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/yourchennai.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/yourchennai.com\/index.php\/wp-json\/wp\/v2\/comments?post=119"}],"version-history":[{"count":2,"href":"https:\/\/yourchennai.com\/index.php\/wp-json\/wp\/v2\/posts\/119\/revisions"}],"predecessor-version":[{"id":208,"href":"https:\/\/yourchennai.com\/index.php\/wp-json\/wp\/v2\/posts\/119\/revisions\/208"}],"wp:attachment":[{"href":"https:\/\/yourchennai.com\/index.php\/wp-json\/wp\/v2\/media?parent=119"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/yourchennai.com\/index.php\/wp-json\/wp\/v2\/categories?post=119"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/yourchennai.com\/index.php\/wp-json\/wp\/v2\/tags?post=119"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}