Intelligent in-vehicle infotainment The key differentiator Intelligent in-vehicle infotainment The key differ | Page 2

Allowing users to personalise their cars and infotainment systems with user experience data , music , apps , themes and colors of their choice can only enhance their driving experience .
by automating the choice of entertainment based on user behaviour data . User behaviour data is derived by analytics inputs from interactive voice recognition , based on the mood of the vehicle owner . b ) Enroll on demand entertainment from Cloud based sources to intelligent IVI instead of local media databases like DVD players or Bluetooth streaming audios . c ) Share and store media files like photos , music and videos , which include , Cloud based media databases like Twonky , Plex and air video . This sharing of media files will lead to saving local space and having more media choices between groups .
Universal plug and play or digital living network alliance software helps people enjoy personal and online music , photos and videos . It is also used to share favourite media with PCs , TVs , stereos and other devices connected to your network .
Vehicle-to-vehicle communication can be used to transfer music by extending vehicle interior personalisation like ambient mood lighting and instrument cluster rearrangement to include user ’ s choice of music . This opens up the possibility of completely altering how the car ’ s dashboard and other interior components look . Having integrated technology by extending the human-machine interface of smart phones with navigation units also helps . It is done by using virtual network computing , handsfree or Bluetooth interfaces .
Registering vehicle health reports on an infotainment device would also be possible as an advanced feature . It is a feasible scenario as intelligent IVI acts like a standalone Electronics Control Unit ( ECU ) and could easily be interfaced by a gateway to talk to other ECUs . An application which is resident on the infotainment unit can typically utilise standard on board diagnostic tests to provide vital health information .
Possible uses This system architecture could , for example , be used for intelligent profiling . It could detect kids in a vehicle through an interactive voice recognition system or an image processing system , using the human detection algorithm .
Lone drivers identified by interactive voice recognition or image processing , could choose pre-set music or make a mood-based profile to help them relax . Profiling can be achieved in two ways - manually or semi-automatically . Semiautomatic profiling takes various inputs such as voice recognition for identifying persons , a human detection algorithm to detect images of users in the cab or even noise level detection .
More intelligence can be added by getting Cloud based songs , depending on the user situation . Indeed , making an interactive radio by requesting for a song to be broadcast is one of the challenges which need support from Cloud or a frequency modulation radio service provider .
Existing devices with user behaviour analytics Some existing media players distinguish user behaviour patterns in both thick and thin customers , where analytics is done on the device itself , as well as on the Cloud . Media players use their own technique or approach to analyse user behaviour . The big disadvantage is that logging too much user behaviour data makes the device performance low . A Cloud based system , which distinguishes user behaviour patterns using analytics , is done online . Cloud based players perform better , as they put a lower burden on the central processing unit .
Examples , Genius Mixes in iTunes , the Last . fm feature in Spotify ; the history based choice feature in Pandora and the history based channel selection satellite radio . iTunes has a big music database with intelligence in PC application . It uses the
Special Feature

Allowing users to personalise their cars and infotainment systems with user experience data , music , apps , themes and colors of their choice can only enhance their driving experience .

Genius feature to create a playlist from the library , based on a single selected song played on the drive . Spotify , however , streams music online , has an on-demand option and is mostly free and Pandora chooses a song or artist based on history .
Conclusion Allowing users to personalise their cars and infotainment systems with user experience data , music , apps , themes and colors of their choice can only enhance their driving experience . Integrating these features with customised human-machine interfaces to retain brand identity can be a key to success in an exponentially growing industry .
About the author Vageesh Kumar Baluvaneralumaheswaraiah is Manager at Mindtree Ltd . He has worked as a part of Mindtree ’ s Engineering - R & D team to build automotive products and competence . Research areas included are
ADAS , Connected cars and AUTOSAR .
www . APFIndia . com | july 2018 | Automotive Products Finder 41