Propellor FilmTech

Movie Pulse at FilmTech Meetup Berlin

Movie Pulse will be presented with a short pitch at the Propellor FilmTech #5 “BioFeedback/Measuring and Interpretation of Emotions”. Main speakers include Nikos Green, CEO and Founder, Affective Signals · Jens-Uwe Garbas, Group Manager Intelligent Systems, Fraunhofer Institute for Integrated Circuits and Dr. André Weinreich, CEO of Emolyzr.

4th of December 2017 · 7 PM at Kultur Projekte, Klosterstraße 68, 10179 Berlin.

RSVP at meetup.com

Blade Runner 2049 · Watched by A.S.

A.S.: Two of my friends and me decided to watch “Blade Runner” and “Blade Runner 2049” in a row. We watched the original “Blade Runner” first, to be prepared for the sequel. It’s been 4 or 5 years ago that I watched Ridley Scott’s movie from 1982 the last time. After that, we went to the cinema for “Blade Runner 2049” directed by Denis Villeneuve. It’s now in the 4th week and the cinema was empty. But that was fine for us.

After 164 Min I was totally stoked.

For me personally, “Terminator 2” is the best sequel of all time. But “Blade Runner 2049” is close behind. The story is intense, very well narrated and a huge evolution. All the essential parts of “Blade Runner” have had a motivated continuation in the movie of 2017. I really like to see actors from the first movie appearing in the sequel, not just for „fame“. Rick Deckard aka Harrison Ford is an important character for the story of “Blade Runner 2049”. It felt really logical and natural as he showed up.

But it’s not just the story. The VFX, the sound design, the characters, the set design etc. – everything is stunning! Maybe the runtime is a little but too much. I think if you’re not into the “Blade Runner” topic the movie could be lengthy. But if you are, all the others aspects conceal it in an awesome manner.

Thank you for sharing, A.S.!

This review of Mark Kermode (The Guardian) is worth reading as well, because he has been sensitive not only to the visual achievements – he describes in detail the soundscape  of Benjamin Wallfisch and Hans Zimmer.

Here are the results of two people watching the “Blade Runner 2049” at different times and places:

AS heart rate watching "Blade Runner 2049" of 2017
“Blade Runner 2049” of 2017 · watched by A.S.

The overall waveform is different, but there are similarities in particular regions (red/green before 0:30 and around 1 hour) and watch out for identical peaks at 1:35 | 2:11 | 2:32 and some close ones.

Heizo Schulze's heart rate watching "Blade Runner 2049" of 2017
“Blade Runner 2049” of 2017 · watched by Heizo Schulze

 

Featured Apple Watch Bezel with shapes of figures

Join Movie Pulse – just share your records

You are probably here, because you recently found Movie Pulse at the web, Facebook or at the iTunes App Store. Hopefully, you are a cinephile person. This is 50% of what’s needed to have fun with this app. The other 50%: you are using iOS and (this is the main obstacle) you must own or have access to an Apple Watch.

Sorry, please stop complaining. I tell you why.

I am a single person, a designer obsessed by movies. And I teach students the use, burden and cool things about media. One topic is film analysis. It’s about the act of learning what do we see, how do we see, read or feel it. And how great masters of cinema history make us become part of the story, make us being immersed.

In short, I developed this app Movie Pulse myself to visualize emotional reactions while watching a movie (preferably at a movie theatre). The iOS app Movie Pulse records your heart rate while you are watching a movie at the cinema. A psychologist and me, we examined recordings of sessions we had conducted with our students. The analysis will still take a while, but you can read about the intermediate results here.

Graph with regular samples
A plain heart rate record would look like this
It · a user record
A user record by Movie Pulse looks like this · “It” 2017 by Andy Muschietti

Take it for free, but share the results

I am interested to see your results, those of the cinephile or movie obsessed users and want to see looooooooots of graphs of any genre. So people can compare and discuss the differences and similarities by themselves. This is the reason I no longer charge for this app. It is available for free at the Apple App Store. Enjoy.

Movie Pulse is the only film tool offering you a timeline with your emotional reactions! Your physiological body reactions are the most objective sources.

Wouldn’t it be nice to see these records clustered? Send your graphs along with a personal note, state what you liked or disliked. I won’t mention your name, just initials and the country of origin. Therefore I politely ask you to send your graphs either:

  • by e-Mail,
  • offering a URL to pin the graphs at Movie Pulse Pinterest board or
  • you can even post them on Movie Pulse Facebook page yourself.

Feel free to place your recorded graphs anywhere on the internet, just mention the app. So others have the chance to use the app for their personal analysis.

Some additional information you might need, bundled at the end for your convenience:

May the pulse be with you.
Yours, Heizo Schulze

Terminator 2 in 3D · Watched by A.S.

A.S. : Terminator 2 is one of my absolute favorite movies. I’ve seen it several times in my life, but I haven’t seen it at the time of its release in 1991 (I was 6 years old).

Because I couldn’t see it at the cinema, it was necessary to watch it now. The 2017 version is digitally remastered in 3D. I don’t really like the 3D technology but James Cameron invested 8 million dollars for the stereo conversion and the result is absolutely fantastic. The picture is crisp (not like the usual blurry 3D movies) and offers plenty of (reasonable) depth. Cameron had already worked with a lot of depth of field in the original movie, this is one reason the 3D version felt so intense. The movie is nowadays still thrilling, emotional and fantastic. The best sequel of all time. I guess my pulse curve is speaking for itself.

Thank you, A.S., for sharing! Would be nice to compare with others…

Terminator 2 Movie Pulse Graph by the user A.S.
Terminator 2 3D (2017) · watched by A.S.

We find the Roger Ebert review is worth reading too.

It

It · a short User Experience

I am happy to share a movie pulse of the faithful user G.R. from Brazil [Thank’s!]. I haven’t seen the movie “It” of Andy Muschietti myself. I probably never will, because I am not a “Horror-Type”. G.R. described shortly his experience as follows:

  • he had high expectations beforehand
  • the movie did not fulfill these prospects

The timeline offers a dramatic change, which really depicts the excitement the user had have at the beginning. Although the pulse decreases dramatically in the long run, it stabilizes after 1/2 h, followed by a very good development afterwards. A very high, long and spectacular peak around 1 hour and a nice intermittent performance up- and downwards in the 2nd half of the movie triggered the user.

A correlation of the users heart rate and his not fulfilled expectations can probably be found in the overall decreasing moving average. Again it would be so interesting to compare this single result with other records.

Your Movie Pulse is always welcome and will be inspected anonymously! [Mail me]

It · a user record
“It” 2017 by Andy Muschietti · a single user record

 

How can we improve Movie Pulse?

Almost off for summer vacation, we’d like to leave this survey [completed] for those of you interested in Movie Pulse. We love to hear how we can improve the app.

We’ve outlined several ideas for additional features in the survey and we are really curious what do you think. No matter if you are new to Movie Pulse or if you are a regular “recorder”. So, come on: spend less than 5 minutes.

Help improving Movie Pulse answering some questions.

Research Session · Analysis 1.0

Accompanied by Dr. André Weinreich, Head of Research & Science from emolyzr/Humboldt University, I’ve run several sessions during the winter semester 2016/17. We now have a gathered some data for the movies which had have enough attendees.

The numerical data provides two main starting points: either analysing the questionaire or the plain heart rate data. We check several options to find some correlations between them. The first obvious result is the relation of mean heart rate and liking. At present we focus on cluster analyses from both “ends”: the average rating as well as the individual pulse.

These are the mean heart rates of each screened movie in alphabetical order. In this earlier post some reasons are given, why these films were chosen. Most movies have been screened in a lecture hall, some at a regular cinema, which clearly caused immersiveness at different levels.

Some clues to read the data:

  • Have a look which approx. mean heart rate the movie evokes
  • Watch for immediate changes (up or down)
  • Look for sections which continously differ from mean heart rate
  • The dynamic range, the film has caused in general, is an indicator as well
  • Can an overall trend be identified in individual sections or the entire film?

American Psycho

Mary Harron · 2000 · n=16 (Berlin, Lecture Hall)

American Psycho Poster

American Psycho Graph


Awakenings

Penny Marshall · 1990 · n=16 (Lemgo), n=14 (Berlin) both Lecture Hall

Awakenings Poster

Awakenings Graph


Deadpool

Tim Miller · 2016 · n=16 (Lemgo, Lecture Hall)

Deadpool Poster

Deadpool Graph


Delicatessen

Jean-Pierre Jeunet & Marc Caro · 1991 · n=14 (Lemgo), n=16 (Berlin) both Lecture Hall

Delicatessen Poster

Delicatessen graph HR mean


Doctor Strange

Scott Derrickson · 2016 · n=16 (Lemgo, Cinema)

Doctor Strange Poster

Dr Strange Graph


Fantastic Beasts and where to Find Them

David Yates · 2016 · n=15 (Lemgo, Cinema)

Fantastic Beasts … Poster

Fantastic Beasts Graph


Gone Girl

David Fincer · 2014 · n=15 (Berlin, Lecture Hall)

Gone Girl Poster

Gone Girl Graph


Heil

Dietrich Brüggemann · 2015 · n=16 (Berlin, Lecture Hall)

Heil Poster

Heil Graph


Her

Spike Jonze · 2013 · n=15 (Berlin, Lecture Hall)

Her Poster

Her Graph


Labor Day

Jason Reitman · 2013 · n=16 (Berlin, Lecture Hall)

Labor Day Poster

Labor Day Graph


Legend

Brian Helgeland · 2015 · n=16 (Lemgo, Lecture Hall)

Legend Poster

Legend Graph


Passengers

Morten Tyldum · 2016 · n=14 (Lemgo, Cinema)

Passengers Poster

Passengers Graph


Robocop

José Padilha · 2014 · n=10 (Lemgo), n=16 (Berlin) both Lecture Hall

Robocop Poster

Robocop Graph


Schönefeld Boulevard

Sylke Enders · 2014 · n=15 (Berlin, Lecture Hall)

Schönefeld Boulevard Poster

Schoenefeld Boulevard Graph


Stereo

Maximilian Erlenwein · 2014 · n=15 (Berlin, Lecture Hall)

Stereo Poster

Stereo Graph


Zootopia

Byron Howard/Rich Moore · 2016 · n=14 (Lemgo, Lecture Hall)

Zootopia Poster

Zoomania Graph


The analysis’ goal is to find some structure in observing the heart rate of movie goers. One outcome might be the relation between the heart rate and the likness. Because we are still in the process of applying different approaches, we are not yet ready to publish the whole data.

If you are interested to get more details of this movie analysis study, it’s progress in analysis, or how Movie Pulse can be used for analyzing any feature length movie yourself, get in touch.

Version 1.5.1 · Good News

Simple and short: Movie Pulse version 1.5.1 comes with the goodies of 1.5 but without the ugly bug causing the improper graph. So enjoy, heart rate is sampled at a regular interval…

Graph with regular samples

A short reminder of the recent improvements:

  • Recording your heart rate while watching a movie will no longer affect your activity rings!
  • Individual records will now no longer be sent to the Watch multiple times.
  • Search with Open Movie Database (OMDb) requires this update.

Feel free to suggest features or report malfunctions under Support.

Activity rings are no longer affected!

Version 1.5 eliminates two bugs – but a new one showed up

Two bugs bothered myself for a long time:

Recording your heart rate with Movie Pulse will no longer affect your activity rings! Finally! It has been tricky but simple at the end. Thanks to the users who urged me to focus on this . It has been a malfunction which Apple Watch users don’t like: mess their workouts and calories. One sentence as an excuse: Many apps faced this problem and even Cardiogram just recently removed it with an update.

At second, records will now no longer be sent to the Watch multiple times. It has been thought as a security net, not to loose data, but … I implemented it the wrong way. Until now!

Besides this, implementing Open Movie Database required an update to get access to their movie entries (for which I pay a monthly donation btw.) So, all users of Movie Pulse must update to version 1.5 to specify their recorded movies via OMDb! Otherwise the search for a movie title will fail.

In case something else goes wrong, please leave a comment, send me a mail or use the bug report below.

Sadly enough: new bug found

While I am writing this post, it seems the update has not only eliminated bugs: a new one arrived. The recorded heart rate will now and then be sampled at an unpredictable frequency, causing hilarious curves. I’m afraid version 1.5 is somehow useless at present. Sorry, but I will do further investigation.

Example of wrong recorded heart rate: "Pirates of the Caribbean 5"
Wrong heart rate samples: “Pirates of the Caribbean 5”
Life Poster · Excerpt

Life 2017 · Brazil vs. Germany

The brazilian student G.N. has send me his first Movie Pulse result: “Life” of Daniel Espinosa. This movie has been a solid outer space science fiction to me, whose crew experience felt quite intense. I’ve literally been part of their crew.

I reject the “Alien-alike” bashing of this movie. It had a serious impact to me – encounter a life form of this aftermath combined with it’s inconspicuous appearance.

But this is it so far on discussing the (subjective) quality – I tend to show some nice similarities across oceans, borders and time. G.N. and me have had some strong identical reactions while watching this movie. I made again a simple image multiplication and only shifted the base line. The first two thirds are somewhat ok, but the reactions at the last 30/40 minutes are almost identical. Shifting the base line for each third would have unfold more similarities even within the first hour.

Two people of different origin and age watching "Life" · 2017 at different locations and dates.
The overlapping represents similar reactions of two people of different origin and age watching “Life” · 2017 at different locations and dates.

These are the original graphs drawn by Movie Pulse.

The brazilian record
The Brazilian record
The german (my) record
The German (my) record