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.
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